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  <doc>
    <id>61423</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
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    <contributingCorporation/>
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    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Anwendung von KI für die Materialoptimierung im Bauwesen</title>
    <abstract language="deu">Diese Arbeit untersucht den Einsatz von Künstlicher Intelligenz (KI) in der Materialentwicklung für Beton, mit einem Fokus auf Karbonatisierungswiderstand, CO₂-Reduktion und Kostenoptimierung. Das KI-Tool SLAMD, das auf inverses Materialdesign setzt, konnte in Studien die Entwicklungszeit für Betonmischungen um bis zu 80 % verkürzen. Durch die Integration zusätzlicher 1H-Kernspinresonanz-Daten wurde der Prozess um weitere 40 % beschleunigt. Insgesamt zeigt sich, dass der Einsatz von KI die Effizienz und Nachhaltigkeit in der Materialentwicklung signifikant steigern kann.</abstract>
    <enrichment key="eventName">11. Jahrestagung des DAfStb mit 63. Forschungskolloquium der BAM Green Intelligent Building</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">16.10.2024</enrichment>
    <enrichment key="eventEnd">17.10.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Sarah Mandy Munsch</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Cement &amp; Concrete</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>SLAMD app</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Nuclear magnetic</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Resonance</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Carbonation resistance</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.1 Baustoffe</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="institutes" number="">8.0 Abteilungsleitung und andere</collection>
    <collection role="themenfelder" number="">Materialdesign</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
  </doc>
  <doc>
    <id>59632</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <type>lecture</type>
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    <title language="deu">Entwicklung einer flexiblen Datenablage zur sicheren Speicherung von Bauwerksdaten - "CASPAR"</title>
    <abstract language="deu">Bestandsunterlagen von älteren Bauwerken sind bezüglich einer rechnerischen Zustandsbewertung häufig nur in einem unzureichenden Umfang verfügbar. Dies gilt sowohl für den privaten als auch für den öffentlichen Bereich. Der Wert von Bestandsunterlagen für Gebäude oder Brücken ist Vielen nicht bekannt. Soll jedoch der aktuelle Zustand von Bauwerken bewertet, sollen Restlebensdauern abgeschätzt oder soll umgebaut werden, stellen Bestandsunterlagen die Grundlage dafür dar. Liegen diese nicht vor, so muss die Bauweise des Bauwerkes kostenintensiv nachvollzogen und mit nachträglichen Untersuchungsverfahren bewertet werden. Vor allem ist dies darauf zurückzuführen, dass die Aufbewahrung der Bestandsunterlagen dem Bauherrn obliegt und diese meist in Papierform vorliegen und dann bei Umzügen, Betriebsschließungen, Eigentümerwechsel etc. verloren gehen.&#13;
Die Digitalisierung im Bauwesen bietet hier Möglichkeiten diese Probleme künftig zu vermeiden. Bereits heute nimmt die digitale Planung im Bauwesen eine immer größere Rolle ein. Mehr und mehr Bauvorhaben werden schon jetzt in sogenannten BIM Modellen (Building Information Modelling) geplant. Um die Akzeptanz einer digitalen Lösung zu gewährleisten muss die Vertrauenswürdigkeit von Daten auch langfristig garantiert sein. Naturgemäß unterliegen Erkenntnisse, die aus Daten gewonnen werden, häufig vielen Prozessschritten mit unterschiedlichen Beteiligten. Es lässt sich vor dem Hintergrund der üblichen Lebensdauern von Bauwerken leicht erkennen, dass es schwierig ist diese Prozesskette, von der Datenerhebung bis zur teilweise jahrzehnte späteren Nutzung, beweissicher und rückführbar zu gestalten. Diese Attribute sind es aber, die die Vertrauensbasis für die Qualität und somit auch die Akzeptanz von digitalisierten Daten bilden. Im Projekt „CASPAR“ erarbeiten wir eine mögliche technologische Grundlage, um Bauwerksdaten langfristig und manipulationssicher zu speichern.</abstract>
    <enrichment key="eventName">Fachtagung Bauwerksdiagnose - Mit zerstörungsfreier Prüfung und Überwachung zu digitalen Bauwerksmodellen</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">29.02.2024</enrichment>
    <enrichment key="eventEnd">01.03.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Maack</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitalisierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Brücke</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Messdaten</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Datanablage</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Datenqualität</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
  </doc>
  <doc>
    <id>51545</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">KI, Machine Learning und faseroptische Sensorik</title>
    <abstract language="deu">Die Verwendung von Methoden des Maschinellen Lernens (ML) und der Künstlichen Intelligenz (KI) im Fachbereich 8.6 Faseroptische Sensorik wird dargestellt. Die vielfältigen Möglichkeiten, Machine Learning auf Basis Künstlicher Neuronaler Netze (ANN) für eine schnelle und effiziente Datenverarbeitung eizusetzen werden demonstriert. Hierfür werden Beispiele für die Anwendungszwecke Messgrößenberechnung, Entrauschen, Interpolation, Bildverarbeitung und Messdatenauswertung aufgezeigt.</abstract>
    <enrichment key="eventName">Foresight Prozess AM, AP 4, Workshop „In Situ Sensorik“</enrichment>
    <enrichment key="eventPlace">Online-Meeting</enrichment>
    <enrichment key="eventStart">09.11.2020</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Konstantin Hicke</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Verteilte faseroptische Sensorik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>KI</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Künstliche Intelligenz</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine Learning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Künstliche Neuronale Netze</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>53221</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">CASPAR - FKZ: 19F2178A "Plattform für die beweissichere und rückführbare Datennutzung im Bauwesen"</title>
    <abstract language="deu">Bestandsunterlagen von älteren Bauwerken sind oft nicht in ausreichendem Umfang verfügbar. Soll jedoch der Zustand von z.B. Gebäude oder Brücken bewertet werden, stellen Bestandsunterlagen die Grundlage dafür dar. Ansonsten muss die Bauweise des Bauwerkes kostenintensiv nachvollzogen und mit nachträglichen Untersuchungsverfahren bewertet werden.&#13;
Heute spielt die digitale Planung im Bauwesen eine immer größere Rolle und Bauvorhaben werden in sogenannten BIM Modellen (Building Information Modelling) geplant. Diese Daten müssen langfristig und manipulationssicher gespeichert werden.&#13;
In diesem Projekt erarbeiten wir die technologischen Grundlagen, um Daten effizient und sicher zu speichern. Wir erarbeiten eine digitale Schnittstelle, um Daten aus unterschiedlichsten Quellen sicher zusammenzuführen und Informationen semantisch zu verknüpfen. Um den Nachweis für die Nutzbarkeit unserer Technologie zu erbringen, entwickeln wir im Rahmen des beantragten Projekts eine prototypische objektbezogene Datenablage in Form eines Demonstrators, in die digitale Informationen einer realen Brücke überführt werden.</abstract>
    <enrichment key="eventName">Online-Fachaustausch der mFUND-Begleitforschung Move Mobility | iRights.Lab</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">07.05.2021</enrichment>
    <enrichment key="eventEnd">07.05.2021</enrichment>
    <enrichment key="RelatedIdentifier">https://pretix.eu/momo/BIM/</enrichment>
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    <author>Stefan Maack</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitalisierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Messdaten</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Brücken</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Qualitätssicherung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bauwesen</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>63157</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>19</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Sage Publications</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Machine learning strategies with ensemble voting for ultrasonic damage detection in composite structures under varying temperature or load conditions</title>
    <abstract language="eng">In recent years, the development of machine learning (ML) techniques has led to significant progress in the field of structural health monitoring with ultrasonic-guided waves. However, a number of challenges still need to be resolved for reliable operation in realistic settings. In this work, we consider the complex problem of experimental damage detection under varying temperature or load conditions where damage locations are not included in the training set. The ML techniques proposed here include supervised and unsupervised methods originally developed for image and time series classification combined with ensemble voting. A performance demonstration of the ML techniques is presented using benchmark datasets from the open-guided waves platform. The unsupervised approach is then applied to a new dataset from an experimental campaign carried out on a composite over-wrapped pressure vessel used for hydrogen storage with real defects. Results show that ensemble voting enables the effective combination of the predictions of multiple transducer pairs, even with a limited number of strong individual classifiers. When applied to unsupervised learning, this returns high accuracy also when real damage over the structure is considered.</abstract>
    <parentTitle language="eng">Structural Health Monitoring</parentTitle>
    <identifier type="doi">10.1177/14759217251333066</identifier>
    <identifier type="issn">1741-3168</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-631571</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">22.05.2025</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Oliver Schackmann</author>
    <author>Octavio A. Márquez Reyes</author>
    <author>Vittorio Memmolo</author>
    <author>Daniel Lozano</author>
    <author>Jens Prager</author>
    <author>Jochen Moll</author>
    <author>Peter Kraemer</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural-Health-Monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultrasonic guided waves</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.4 Akustische und elektromagnetische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/63157/schackmann-et-al-2025.pdf</file>
  </doc>
  <doc>
    <id>57223</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>researchdata</type>
    <publisherName>Harvard College</publisherName>
    <publisherPlace>Cambridge, MA, USA</publisherPlace>
    <creatingCorporation>Bundesanstalt für Materialforschung und -prüfung (BAM)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Interrelated Data Set from Nondestructive and Destructive Material Testing of Concrete Compressive Strength Specimens</title>
    <abstract language="eng">"This data set contains three different data types obtained from concrete specimens. For each specimen, the rebound numbers, ultrasonic data (ultrasonic velocity, time of flight), and destructive concrete strength are given. Two kind of specimen geometries were tested: cubes and drilled cores. The files are labeled according to the specimen geometry as "cube" or "core" and the type of measurement data as "compressive_strength", "rn_R" and "rn_Q" for rebound numbers as well as "us" for ultrasonic data. The ultrasonic data were generated by six independent laboratories, the rebound numbers by five independent laboratories and the destructive tests by one laboratory. The designation of each specimen establishes the relationship between the different data types."</abstract>
    <parentTitle language="deu">Harvard Dataverse Repository</parentTitle>
    <identifier type="doi">10.7910/DVN/AFCITK</identifier>
    <enrichment key="ScientificResourceTypeGeneral">Datensatz</enrichment>
    <enrichment key="ScientificDateCreatedStart">2022</enrichment>
    <enrichment key="ScientificGeolocation">Berlin, Germany</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC0 1.0 - Universell - Public Domain Dedication</licence>
    <author>D. Gebauer</author>
    <author>R. Beltrán Gutierrez</author>
    <author>S. Marx</author>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>Stephan Pirskawetz</author>
    <author>W. Breit</author>
    <author>V. Mechtcherine</author>
    <author>K. Grahl</author>
    <author>T. Thiel</author>
    <author>M. Schickert</author>
    <author>M. Krüger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Compressive Concrete Strength</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rebound Hammer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultrasonic Pulse Velocity</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.1 Baustoffe</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="unnumberedseries" number="">Forschungsdatensätze der BAM</collection>
  </doc>
  <doc>
    <id>62162</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>4</pageLast>
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    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of long-term embedded RFID sensors for structural health monitoring</title>
    <abstract language="eng">Ensuring the health of civil engineering structures is crucial for the safety and longevity of the built environment. In this direction, structural health monitoring (SHM) has been increasingly employed, providing insight into the structural behavior, based on sensor data representing structural responses. This paper investigates the plausibility of embedding sensors into concrete structures for SHM, leveraging radio frequency identification (RFID) technology, in an attempt to enable the passive operation of sensors without continuous power supply and to reduce potential sources of interference. In contrast to conventional SHM sensors, the uninterrupted operation of embedded sensors must be ensured because post-installation interventions are either impractical or impossible. RFID technology enables wireless data acquisition and energy transmission without mechanical impact on civil engineering structures, although it may be challenging when RFID sensors are embedded in concrete.&#13;
This study presents a durable passive embedded RFID sensor system (i.e., a system without batteries), including the selection of components, such as housing and cable materials, suitable for withstanding the aggressive environment of concrete without damaging the sensitive electronics or contaminating the data recorded by the sensors. The proposed sensor system is validated in laboratory tests, the results of which provide insights into the influence of each component and are intended to advance the implementation of embedded sensor systems.</abstract>
    <parentTitle language="eng">Proceedings of the IEEE Sensors 2024</parentTitle>
    <identifier type="isbn">979-8-3503-6351-7</identifier>
    <identifier type="doi">10.1109/SENSORS60989.2024.10785220</identifier>
    <enrichment key="eventName">IEEE Sensors 2024</enrichment>
    <enrichment key="eventPlace">Kobe, Japan</enrichment>
    <enrichment key="eventStart">20.10.2024</enrichment>
    <enrichment key="eventEnd">23.10.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">24.03.2025</enrichment>
    <author>Sergej Johann</author>
    <author>Jan Stührenberg</author>
    <author>Aditya Tandon</author>
    <author>Kosmas Dragos</author>
    <author>Matthias Bartholmai</author>
    <author>Christoph Strangfeld</author>
    <author>Kay Smarsly</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RFID-based sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Smart sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Embedded sensors</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
  </doc>
  <doc>
    <id>51688</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Strukturüberwachung mit lokaler und verteilter faseroptischer Sensorik</title>
    <abstract language="deu">Der Vortrag gibt einen Überblick über die Einsatzmöglichkeiten faseroptischer Sensorik (FOS) als ZfP-Verfahren. Dabei werden an Beispielen lokale und verteilte faseroptische Verfahren zur Dehnungs-, Temperatur- und Risserfassung sowie zur akustischen Messung vorgestellt. Weiterhin werden Möglichkeiten zur Selbstdiagnose von FOS aufgezeigt.</abstract>
    <enrichment key="eventName">InnoTesting2020 "Innovative Ideen - neue Testmethoden"</enrichment>
    <enrichment key="eventPlace">Wildau, Germany</enrichment>
    <enrichment key="eventStart">27.02.2020</enrichment>
    <enrichment key="eventEnd">28.02.2020</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Detlef Hofmann</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Faseroptische Sensorik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Strukturüberwachung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Lichtwellenleiter</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zerstörungsfreie Prüfung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Selbstdiagnose</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="themenfelder" number="">Degradationsmechanismen</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>60910</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>4</volume>
    <type>article</type>
    <publisherName>John Wiley &amp; Sons, Ltd</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Robot-assisted crack detection on complex shaped components using constant-speed scanning infrared thermography with laser line excitation</title>
    <abstract language="eng">Infrared thermography (IRT) using a focused laser is effective for surface defect detection. Nevertheless, testing complex‐shaped components remains a challenging task. The state‐of‐the‐art focuses on testing a limited region of interest rather than the full sample. Thus, detection and location of surface defects has been less researched. Most attempts require a manual scan of the full sample, which makes it hard to reconstruct the full scanned surface. Here, we introduce a reliable workflow for crack detection and semi‐automated inspection of complex‐shaped components using IRT excited with a laser line. A 6‐axis robot arm is used for moving the sample in front of the setup. This approach has been tested on a section of a rail and a gear, both containing defects due to heavy use. Crack detection is based on the segmentation of thermograms obtained by Fourier transform of sorted temperatures. Moreover, texture mapping is used to visualize a reconstructed thermogram on the 3D model of the sample. Our approach illustrates a reliable process towards the digitalization of thermographic testing.</abstract>
    <parentTitle language="eng">Applied Research</parentTitle>
    <identifier type="doi">10.1002/appl.202400007</identifier>
    <identifier type="issn">2702-4288</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">19.05.2025</enrichment>
    <author>Nelson Wilbur Pech May</author>
    <author>Julien Lecompagnon</author>
    <author>Philipp Daniel Hirsch</author>
    <author>Mathias Ziegler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Crack detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Infrared thermography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Laser line excitation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Robot‐assisted</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Texture mapping</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.3 Thermografische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>56904</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>mul</language>
    <pageFirst>1</pageFirst>
    <pageLast>19</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>De Gruyter</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="mul">Eine Sammlung durch Maschinelles Lernen unterstützter Verteilter Faseroptischer Sensoren für Infrastrukturmonitoring</title>
    <title language="eng">A collection of machine learning assisted distributed fiber optic sensors for infrastructure monitoring</title>
    <abstract language="eng">In this paper, we present a collection of machine learning assisted distributed fiber optic sensors (DFOS) for applications in the field of infrastructure monitoring. We employ advanced signal processing based on artificial neural networks (ANNs) to enhance the performance of the dynamic DFOS for strain and vibration sensing. Specifically, ANNs in comparison to conventional and computationally expensive correlation and linearization algorithms, deliver lower strain errors and speed up the signal processing allowing real time strain monitoring. Furthermore, convolutional neural networks (CNNs) are used to denoise the dynamic DFOS signal and enable useable sensing lengths of up to 100 km. Applications of the machine learning assisted dynamic DFOS in road traffic and railway infrastructure monitoring are demonstrated. In the field of static DFOS, machine learning is applied to the well-known Brillouin optical frequency domain analysis (BOFDA) system. Specifically, CNN are shown to be very tolerant against noisy spectra and contribute towards significantly shorter measurement times. Furthermore, different machine learning algorithms (linear and polynomial regression, decision trees, ANNs) are applied to solve the well-known problem of cross-sensitivity in cases when temperature and humidity are measured simultaneously. The presented machine learning assisted DFOS can potentially contribute towards enhanced, cost effective and reliable monitoring of infrastructures.</abstract>
    <abstract language="deu">In diesem Beitrag stellen wir eine Sammlung von verteilten faseroptischen Sensoren (DFOS) vor, die mit Hilfe von Maschinellem Lernen arbeiten und für Anwendungen im Bereich der Infrastrukturüberwachung geeignet sind. Wir setzen hierbei fortschrittliche Signalverarbeitung auf der Grundlage Künstlicher Neuronaler Netze ein, um die Leistungsfähigkeit dynamischer DFOS für die Messung von Dehnungen und Vibrationen zu verbessern. Insbesondere Künstliche Neuronale Netze (ANNs) liefern im Vergleich zu konventionellen und rechenintensiven Korrelations- und Linearisierungsalgorithmen geringere Dehnungsfehler und beschleunigen die Signalverarbeitung, so dass eine Dehnungsüberwachung in Echtzeit möglich ist. Darüber hinaus wenden wir Convolutional Neural Networks (CNNs) an, um dynamische DFOS-Signale zu entrauschen und damit nutzbare Messlängen von bis zu 100 km zu ermöglichen. Es werden Anwendungsbeispiele dieser durch Maschinelles Lernen unterstützten dynamischen DFOS in den Bereichen des Straßenverkehrsmonitorings und der Zug- und Gleisüberwachung aufgezeigt. Im Bereich der statischen DFOS wird Maschinelles Lernen auf das Verfahren der Optischen Brillouin-Frequenzbereichsanalyse (BOFDA) angewendet. Insbesondere CNN erweisen sich hier als sehr robust gegenüber verrauschten Spektren und tragen zu deutlich kürzeren Messzeiten bei. Darüber hinaus werden verschiedene Algorithmen des maschinellen Lernens (lineare und polynome Regression, Entscheidungsbäume, ANNs) angewandt, um das bekannte Problem der Querempfindlichkeit bei DFOS in den Fällen zu lösen, in denen Temperatur und Feuchtigkeit gleichzeitig gemessen werden sollen. Die hier vorgestellten, durch Maschinelles Lernen unterstützten, DFOS können zu einer verbesserten, kostengünstigen und zuverlässigen Überwachung von Infrastrukturen beitragen.</abstract>
    <parentTitle language="deu">tm - Technisches Messen</parentTitle>
    <identifier type="doi">10.1515/teme-2022-0098</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-569044</identifier>
    <identifier type="issn">0171-8096</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">27.02.2023</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Christos Karapanagiotis</author>
    <author>Konstantin Hicke</author>
    <author>Katerina Krebber</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial neural networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Brillouin sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distributed acoustic sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fibre optic sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Infrastructure monitoring</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/56904/10.1515_teme-2022-0098.pdf</file>
  </doc>
  <doc>
    <id>52531</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">ZfP Statik – Zuverlässigkeitsbewertung von Bestandsbauwerken mit ZfP-Ergebnissen</title>
    <abstract language="deu">Messen heißt wissen. Dieses Wissen spiegelt die Realität wider und soll den Statiker eines bestehenden Bauwerkes bei der Entscheidungsfindung über die Sicherheit und Zuverlässigkeit der Konstruktion unterstützen. Gegenüber dem Neubauentwurf können bei der Bewertung von bestehender Bausubstanz Sicherheitsreserven genutzt werden, da Unsicherheiten, die beim Bau auftreten können, besser bekannt oder nicht mehr vorhanden sind. Können solche Unsicherheiten genauer bewertet werden, z. B. durch die Feststellung der genauen Lage der Spannglieder bei einer Spannbetonbrücke, so können Sicherheitsbeiwerte reduziert werden, ohne dass es dabei zu Auswirkungen auf das normativ festgelegte Zuverlässigkeitsniveau kommt. Mittlerweile sind Prüfmethoden an Bauwerken wirtschaftlich einsetzbar und auch so leistungsfähig, dass die für die Tragfähigkeit und Gebrauchstauglichkeit wesentlichen Parameter identifiziert werden können. Ein wesentlicher Punkt ist hierbei die Integration derartiger Messergebnisse in Rechenmodelle, die für die Nachrechnung des Bauwerks verwendet werden. Dies können sowohl semiprobabilistische Rechenmodelle als auch vollprobabilistische Modelle sein. Bei semiprobabilistischen Methoden können aus den Messergebnissen Teilsicherheitsbeiwerte berechnet und abgeleitet werden, die dann in den bekannten Nachweisformaten gemäß den Eurocodes und der Nachrechnungsrichtlinie berücksichtigt werden. Bei vollprobabilistischen Nachweisen können die Messdaten in Form von Verteilungsdichtefunktionen mit gemessenen Variationskoeffizienten direkt in das Rechenmodell eingehen.</abstract>
    <enrichment key="eventName">Abteilungsseminar der Abteilung 8</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">28.04.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <author>Stefan Maack</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bestandsbauwerke</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zuverlässigkeitsbewertung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Nachrechnung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zerstörungsfreie Prüfung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Messunsicherheit</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>55173</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Brillouin optical frequency-domain analysis for structural health monitoring</title>
    <abstract language="eng">We present our achievements in the development of distributed fiber optic sensing systems based on Brillouin optical frequency-domain analysis for structural health monitoring. The focus of the applications is on the gapless monitoring of geotechnical structures, large area infrastructures and electrical grids. The work includes the latest use of machine learning algorithms to reduce measurement time by coexistent increasing the measurement accuracy.</abstract>
    <enrichment key="eventName">4th Workshop on Optomechanics and Brillouin Scattering</enrichment>
    <enrichment key="eventPlace">Erlangen, Germany</enrichment>
    <enrichment key="eventStart">14.06.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Aleksander Wosniok</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distributed sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BOFDA</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Optical fiber sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Brillouin distributed fiber sensor</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>61002</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigations on multi-sensor data for monitoring volume flow during the printing process</title>
    <abstract language="eng">Extrusion based 3D concrete printing (3DCP) is a growing technology because of its high potential for automating construction and the new possibilities of design. In conventional construction methods, a sample is taken to be representative for one material batch. However, in 3DCP continuous mixing is used which results in variations during the mixing process. Therefore, one sample is not representative for the entire structure. This leads to the necessity of continuous and real-time process monitoring.&#13;
This study focuses on the variations of pressure and temperature which are caused by changes in the material due to the ongoing mixing process. Changes in material, which is transported downstream, are influencing sensor signals in different positions with a time delay. In the following, the data is analysed to investigate if the changing material and the so caused change in pressure can be used to calculate volume flow.</abstract>
    <enrichment key="eventName">Digital Concrete 2024</enrichment>
    <enrichment key="eventPlace">Munich, Germany</enrichment>
    <enrichment key="eventStart">04.09.2024</enrichment>
    <enrichment key="eventEnd">06.09.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Eric Schönsee</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Additive Manufacturing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>In-line Monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Volume Flow</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Process Control</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>57499</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>researchdata</type>
    <publisherName>Harvard College</publisherName>
    <publisherPlace>Cambridge, MA, USA</publisherPlace>
    <creatingCorporation>Bundesanstalt für Materialforschung und -prüfung (BAM)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Interrelated data set from nondestructive and destructive material testing of concrete compressive strength specimens</title>
    <abstract language="eng">This data set contains three different data types obtained from concrete specimens. For each specimen, the rebound numbers, ultrasonic data (ultrasonic velocity, time of flight), and destructive concrete strength are given. Two kind of specimen geometries were tested: cubes and drilled cores. The files are labeled according to the specimen geometry as "cube" or "core" and the type of measurement data as "compressive_strength", "rn_R" and "rn_Q" for rebound numbers as well as "us" for ultrasonic data. The ultrasonic data were generated by six independent laboratories, the rebound numbers by five independent laboratories and the destructive tests by one laboratory. The designation of each specimen establishes the relationship between the different data types.</abstract>
    <parentTitle language="eng">Harvard Dataverse Repository</parentTitle>
    <identifier type="doi">10.7910/DVN/AFCITK</identifier>
    <enrichment key="ScientificResourceTypeGeneral">Datensatz</enrichment>
    <enrichment key="ScientificDateCreatedStart">2022</enrichment>
    <enrichment key="ScientificGeolocation">Germany</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <licence>Creative Commons - CC0 1.0 - Universell - Public Domain Dedication</licence>
    <author>D. Gebauer</author>
    <author>B. Gutierrez</author>
    <author>S. Marx</author>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>Stephan Pirskawetz</author>
    <author>W. Breit</author>
    <author>V. Mechtcherine</author>
    <author>K. Grahl</author>
    <author>T. Thiel</author>
    <author>M. Schickert</author>
    <author>M. Krüger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Non-destructive testing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rebound number</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultrasonic pulse velocity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Compressive concrete strength</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Interlaboratory comparison</value>
    </subject>
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    <collection role="ddc" number="624">Ingenieurbau</collection>
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  </doc>
  <doc>
    <id>54755</id>
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    <publishedYear>2021</publishedYear>
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    <language>deu</language>
    <pageFirst>1</pageFirst>
    <pageLast>111</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>S 165</volume>
    <type>report</type>
    <publisherName>Fachverlag NW in der Carl Ed. Schünemann KG</publisherName>
    <publisherPlace>Bremen</publisherPlace>
    <creatingCorporation>Bundesanstalt für Straßenwesen (BASt)</creatingCorporation>
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    <title language="deu">Analyse des gefügeabhängigen Löslichkeitsverhaltens potenziell AKR-empfindlicher Gesteinskörnungen</title>
    <title language="eng">Analysis of the microstructure depending solubility behavior of potential ASR sensitive aggregates</title>
    <abstract language="deu">Das gefügeabhängige Löslichkeitsverhalten wurde an folgenden vier Gesteinskörnungen unterschiedlicher Alkaliempfindlichkeitsklassen&#13;
untersucht:&#13;
• GK1 (EIII-S): quarzreicher Kies&#13;
• GK2 (EIII-S): Grauwacke (Splitt)&#13;
• GK3 (EI-S): Quarz-Feldspat-Porphyr (Splitt)&#13;
• GK4 (EI-S): sandsteinreicher Kies&#13;
DiePorenstrukturanalyse erfolgte sowohl an Einzelkörnern mittels vergleichender 3D-CT und BET- Untersuchungen als auch an Korngemengen der einzelnen Kornfraktionen (außer Fraktion 16/22 mm) über die Wasseraufnahme und mit BET. Für die Visualisierung und Quantifizierung der von außen zugänglichen Oberflächenanteile der Einzelkörner wurde ein Softwaretool entwickelt, erprobt und erfolgreich angewandt. Es gelang so u.a. den Nachweis zu erbringen, dass die gebrochenen Einzelkörner der Grauwacke und des Rhyoliths einen deutlich geringeren von außen zugänglichen Oberflächenanteil als die gleichartigen Gesteinskörner aus dem Kies besitzen. Aufgrund der limitierten Ortsauflösung der 3D-CT von 11 bis 16,5 μm wurde mit BET eine um drei Zehnerpotenzen höhere spezifische Oberfläche ermittelt.&#13;
Zu den Porositätsuntersuchungen an den Korngemengen sei angemerkt, dass zum Teil gegenläufige Trends zwischen offener Porosität und spezifischer Oberfläche festgestellt wurden. Dieses ist beim Bezug des bei den Löseversuchen in 0,1 M KOH mit definierter NaCl-Zugabe aus der Gesteinskörnung gelösten SiO2 und Al2O3 von zentraler Bedeutung. Bei den Löseversuchen an den fraktionsspezifischen Korngemengen selbst zeigte sich, dass die stufenweise Erhöhung des NaCl-Gehalts von 0 auf 10 M.-% im Eluat eine erhöhte SiO2-Löslichkeit und eine verminderte Auslaugung von Al2O3 zur Folge hat. Auffallend war hierbei, dass die Al2O3-Löslichkeit bei GK4 ohne und mit geringer NaCl-Zugabe die mit Abstand höchsten Werte annimmt. Bei den zusätzlich durchgeführten Löseversuchen an den tomografierten Einzelkörnern in 1 M KOH-Lösung mit Zugabe von 1 M.-% NaCl zeigte sich, dass nur vereinzelt bei den untersuchten Gesteinsarten eine Korrelation zwischen dem SiO2- bzw. Al2O3-Gehalt im Eluat und der absoluten BET-Oberfläche nachweisbar ist. Dies ist vermutlich darauf zurückzuführen, dass neben der Oberfläche weitere Parameter (z.B. die mineralogische Zusammensetzung der Einzelkörner) das Löseverhalten maßgebend beeinflussen. Bei den parallel zu den Löseversuchen durchgeführten Betonversuchen nach dem ARS 04/2013 zeigte sich, dass die Alkaliempfindlichkeit der GK4 bei beiden Betonversuchen mit Alkalizufuhr unterschiedlich zu bewerten ist. So ist unabhängig von der vorgegebenen pessimalen Betonrezeptur des Fahrbahndeckenbetons ausschließlich bei der Klimawechsellagerung die GK4 als alkaliempfindlich einzustufen. Allerdings konnte der Befund der stark ausgeprägten AKR bei der GK4 mit der Dünnschliffmikroskopie nicht bestätigt werden. Analoges gilt für die Bewertung der Alkaliempfindlichkeit von GK2 mit den Betonversuchen nach der Alkalirichtlichtlinie des DAfStb. So ist auch hier die GK2 nicht im 60 °C-Betonversuch sondern ausschließlich im 40 °C-Betonversuch als alkaliempfindlich einzustufen.&#13;
Dienach den verschiedenartigen Betonversuchen durchgeführten LIBS-Analysen am Vertikalschnitt der Prüfkörper zeigen, dass im Kernbereich nach dem 60 °C-Betonversuch mit 10 %iger NaCl-Lösung und nach der Klimawechsellagerung mit NaCl-Beaufschlagung annähernd gleich hohe Natrium- und Chloridgehalte vorgefunden werden. Wider Erwarten treten an den beaufschlagten Prüfflächen Abreicherungen von Natrium und Anreicherungen von Chlorid auf. Im 40°C- und 60 °C-Betonversuch wurde das Natrium bis in eine maximale Tiefe von ca. 30 mm bzw. 20 mm ausgelaugt. Die aufbauenden korrelativen Betrachtungen zwischen den Ergebnissen des 60°C Betonversuchs mit Alkalizufuhr und der Löseversuche an den fraktionsspezifischen Korngemengen in 1 M KOH-Lösung mit definierter NaCl-Zugabe sind durchaus vielversprechend. So zeigt sich beispielsweise beim Waschbeton, dass der fraktionsspezifisch gewichtete SiO2-Überschuss im Eluat nach 56 Tagen mit Zugabe von 0,5 M.-% NaCl ohne Bezug auf die BET-Oberfläche zur gleichen Einstufung der vier betrachteten Gesteinskörnungen wie bei den Dehnungen im 60 °C-Betonversuch mit 3 %-iger NaCl-Lösung führt. Außerdem korrelieren die im 60 °C-Betonversuch mit 10 %-iger NaCl-Lösung ermittelten Dehnungen mit dem gewichteten SiO2-Überschuss im Eluat bei Zugabe von 2 M.-% NaCl ohne Bezug auf die BET-Oberfläche.&#13;
Ausschließlich bei den Betonversuchen nach der Alkali-Richtlinie erwies sich der Bezug des im Eluat ermittelten SiO2-Überschusses auf die BET-Oberfläche als zielführend. Aufgrund des Potenzials der Löseversuche mit NaCl-Zugabe für die Bewertung der Alkaliempfindlichkeit der Gesteinskörnung im Fahrbahndeckenbeton wird empfohlen, die vergleichenden Untersuchungen zwischen den Löseversuchen an Korngemischen der einzelnen Fraktionen und den Betonversuchen nach dem ARS 04/2013 mit einer möglichst hohen Anzahl an Gesteinskörnungen und einem präzisierten Untersuchungsumfang fortzuführen.</abstract>
    <abstract language="eng">The following four aggregates (GK) of varying grades of alkali sensitivity were examined for their microstructure-dependent solubility behavior:&#13;
• GK1 (EIII-S) gravel with high quarz content&#13;
• GK2 (EIII-S) greywacke (crushed stone)&#13;
• GK3 (EI-S) quarz-feldspar-porphyry (crushed stone)&#13;
• GK4 (EI-S) gravel with high sandstone content&#13;
Pore structure analysis was carried out both on single grains using comparative 3D-CT and BET tests, and on grain samples of individual grain fractions (excluding the 16/22 mm fraction) using water absorption and BET. A software tool for visualizing and quantifying the externally accessible surfaces of single grains was developed, tested and successfully applied.&#13;
This enabled us, among other things, to prove that single broken grains of greywacke and rhyolite have a much smaller externally accessible surface than grains of gravel of the same aggregate fraction. Due to the 3D-CT’s limited spatial resolution of 11 to 16.5 μm, BET was used to determine a two to three powers of ten higher specific surface.&#13;
In relation to the porosity tests of the grain samples, it should be noted that in some cases, counterdirectional trends between open porosity and specific surface were determined. This is of central importance in relation to the SiO2 and Al2O3 dissolved from the aggregate in the solubility tests in 1 M KOH with defined addition of NaCl.&#13;
The solubility tests on the grain samples of specific fractions showed that the gradual increase of the NaCl content in the eluate from 0 to 10 M.-% resulted in increased SiO2 solubility and reduced leaching of Al2O3. It was striking in this context that the solubility of Al2O3 in GK4 with no or little addition of NaCl gives by far the highest values.&#13;
The additional solubility tests carried out on single grains, that were previously subjected to CT testing, in 1 M KOH solution with 1 M.-% added NaCl showed that in the types of aggregate examined, a correlation between the SiO2 and Al2O3 in eluate and the absolute BET surface is only occasionally demonstrable. This is probably due to the fact that solubility behavior is decisively influenced by other parameters in addition to the surface (e.g. by the mineralogical composition of individual grains).&#13;
The concrete tests according to ARS 04/2013 carried out parallel to the solubility tests showed that GK4’s alkali sensitivity in both concrete tests with added alkali must be evaluated differently.&#13;
For example, independent of the prescribed pessimal road surface concrete formula, GK4 can only be classified as alkali sensitive under cyclic storage. However petrographic microscopy could not confirm the findings of very marked ASR in GK4. The same applies to the evaluation of alkali sensitivity in GK2 with the concrete tests according to the German Committee for Structural Concrete (DAfStb)’s Alkali Guidelines. In this case too, GK2 should not be classified as alkali sensitive in 60 °C concrete testing, but only in 40 °C concrete testing.&#13;
The LIBS analyses carried out on the vertical cross-section of the test specimens after the various concrete tests showed that almost equally high sodium and chloride levels were found in the core area after the 60 °C concrete prism test with 10 % NaCl solution and after cyclic storage with NaCl application. Contrary to expectations, the surfaces of samples after NaCl application showed a decrease in sodium and an increase in chloride. In the 40°C and 60°C concrete prism tests, sodium was depleted up to a maximum depth of approx. 30 mm and 20 mm respectively.&#13;
Subsequent correlative observations between the findings of the 60°C concrete prism test with alkali application, and the solubility tests on the samples of specific grain fractions in 1 M KOH solution with defined NaCl addition, are very promising. In the case of exposed aggregate concrete, for example, the fraction-specific weighted excess SiO2 to in the eluate after 56 days with added 0.5 M.-% NaCl unrelated to the BET surface results in the same classification of the four aggregates examined as the expansions in the 60 °C concrete prism test with 3% NaCl solution. In addition, the expansions found in the 60 °C concrete prism test with 10% NaCl solution correlated with the weighted excess SiO2 in eluate with added 2 M.-% NaCl without relation to the BET surface. Only in the case of the concrete test in accordance with the Alkali Guidelines did the relationship of the excess SiO2 in the eluate to the BET surface prove to be productive.&#13;
Due to the potential of the solubility test with added NaCl for the evaluation of alkali sensitivity of aggregates in road surface concrete, we recommend continuing with comparative tests between solubility tests of grain samples of the various fractions and the concrete tests in accordance with ARS O4/13 with the greatest possible number of aggregates and a precisely defined investigation scope.</abstract>
    <parentTitle language="deu">Berichte der Bundesanstalt für Straßenwesen</parentTitle>
    <identifier type="issn">0943-9323</identifier>
    <identifier type="isbn">978-3-95606-648-1</identifier>
    <identifier type="url">https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/2583</identifier>
    <identifier type="urn">urn:nbn:de:hbz:opus-bast-25832</identifier>
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    <author>Frank Weise</author>
    <author>T. Oesch</author>
    <author>Gerd Wilsch</author>
    <author>S. Sigmund</author>
    <author>K.-J. Hünger</author>
    <author>M. Kositz</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>LIBS</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Betonfahrbahndecke</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Alkali-Kieselsäure-Reaktion</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Gesteinskörnung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Alkaliempfindlichkeit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>3D-CT</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Tausalzeintrag</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
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    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.1 Baustoffe</collection>
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    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
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  <doc>
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    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <publisherName/>
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    <title language="deu">DICONDE für die Schienenprüfung</title>
    <abstract language="deu">Bei der zerstörungsfreien Prüfung verlegter Eisenbahnschienen werden die Rohdaten derzeit in proprietären Datenformaten gespeichert und auf Datenträgern zwischen den Prüfzügen und den auswertenden Stellen versendet. Die proprietären Datenformate sind in der Regel nur den Herstellern der Prüfsysteme bekannt und deren Dokumentation nicht allgemein zugänglich.&#13;
&#13;
Das Forschungsprojekt „Artificial Intelligence for Rail Inspection“ (AIFRI) erfordert den Austausch von Prüfdaten in einem offenen Format sowohl zwischen den Projektpartnern als auch die Veröffentlichung anonymisierter Daten ausgewählter Strecken aus dem Offenen Digitalen Testfeld (ODT). Wir haben uns in dem Projekt für die Verwendung der „Standard Practice for Digital Imaging and Communication in Nondestructive Evaluation“ (DICONDE) entschieden. DICONDE basiert auf dem medizinischen Standard „Digital Imaging and Communication in Medicine“ (DICOM) und wurde von ASTM an die ZfP angepasst. DICOM bzw. DICONDE ist nicht nur ein Datenformat, sondern beinhaltet auch Kommunikationsschnittstellen für die Auftragsvergabe, Datenübertragung und Abfrage gespeicherter Datensätze aus einem Archiv.&#13;
&#13;
In dem Vortrag werden DICOM und DICONDE vorgestellt, sowie die Verwendung von DICONDE für die Schienenprüfung im Projekt AIFRI näher erläutert. Es wird gezeigt, wie sich Prüfdaten, Prüfparameter, Streckeninformationen incl. Kilometertafeln und Geokoordinaten und Befunde in DICONDE kodieren lassen.</abstract>
    <enrichment key="eventName">13. Fachtagung ZfP im Eisenbahnwesen</enrichment>
    <enrichment key="eventPlace">Erfurt, Germany</enrichment>
    <enrichment key="eventStart">12.03.2024</enrichment>
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    <author>Ralf Casperson</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>DICONDE</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Wirbelstromprüfung</value>
    </subject>
    <subject>
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      <type>uncontrolled</type>
      <value>Ultraschallprüfung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Schienenprüfung</value>
    </subject>
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    <collection role="ddc" number="624">Ingenieurbau</collection>
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    <collection role="institutes" number="">8.4 Akustische und elektromagnetische Verfahren</collection>
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    <completedYear/>
    <publishedYear>2021</publishedYear>
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    <publisherName>expert Verlag</publisherName>
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    <title language="deu">Datenablage als Grundlage für den digitalen Zwilling eines Bauwerks – Verwaltungsschale BBox</title>
    <abstract language="deu">Der Beitrag stellt die Entwicklung und die Systemarchitektur der BBox am Beispiel von 2 Projekten dar.</abstract>
    <parentTitle language="deu">1. Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur: Fachtagung über Planung, Bau, Betrieb von Brücken, Tunneln, Straßen digital - Tagungshandbuch 2021</parentTitle>
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    <enrichment key="eventName">1. Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur</enrichment>
    <enrichment key="eventPlace">Esslingen, Germany</enrichment>
    <enrichment key="eventStart">29.06.2021</enrichment>
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    <author>T. Braml</author>
    <author>J. Wimmer</author>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>T. Kuhn</author>
    <author>M. Reingruber</author>
    <author>A. Gordt</author>
    <author>J. Hamm</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitaler Zwilling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bestandsbauwerke</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Physikalisches Modell</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
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    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
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  <doc>
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    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
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    <pageFirst>297</pageFirst>
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    <pageNumber/>
    <edition/>
    <issue>110</issue>
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    <creatingCorporation>Institut für Geomechanik und Geotechnik, Technische Universität Braunschweig</creatingCorporation>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Verwendung faseroptischer Messtechnik im Zuge wiederholter Eignungsprüfungen an Verpressankern</title>
    <abstract language="deu">Im Rahmen des Ausbaus des Dortmund-Ems-Kanals wurden an der Schleuse Gleesen Forschungsanker installiert, die Rückschlüsse auf das Tragverhalten in Folge des chemischen Angriffs kalklösender Kohlensäure geben sollen. Die Forschungsanker werden seit der Erstellung im Jahr 2017 mit verteilter faseroptischer Sensorik während der jährlichen Eignungsprüfungen untersucht. Die Ergebnisse der Jahre 2017 bis 2019 werden im Folgenden dargestellt.</abstract>
    <parentTitle language="deu">Messen in der Geotechnik 2020</parentTitle>
    <identifier type="isbn">978-3-948141-02-8</identifier>
    <identifier type="doi">10.24355/dbbs.084-201912181435-0</identifier>
    <enrichment key="eventName">Messen in der Geotechnik 2020</enrichment>
    <enrichment key="eventPlace">Braunschweig, Germany</enrichment>
    <enrichment key="eventStart">20.02.2020</enrichment>
    <enrichment key="eventEnd">21.02.2020</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Detlef Hofmann</author>
    <author>Frank Basedau</author>
    <author>F. Heidenreich</author>
    <author>M. Herten</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Faseroptische Sensorik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Rayleigh Rückstreuung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Verpressanker</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Chemischer Angriff</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Rissbildung</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="themenfelder" number="">Degradationsmechanismen</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>59110</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>16</pageFirst>
    <pageLast>38</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>fib Bulletin 109</volume>
    <type>bookpart</type>
    <publisherName>Fédération internationale du béton (fib)</publisherName>
    <publisherPlace>Lausanne</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Chapter 2: Condition survey - Testing and monitoring methods</title>
    <abstract language="eng">The through-life management of our constantly ageing infrastructure is a basic requirement in order to ensure their structural safety and serviceability. Each structure experiences deterioration processes with time leading to a decrease of structural safety and serviceability. The design of new structures considers the expected deterioration for a defined period, the design service life. However, a frequent survey of structural safety controlling structural condition should be mandatory and a maintenance plan should be an integral part of the design. In addition, many structures have exceeded their design service life already or are very close to it leading to an increasing demand for condition assessment. On the one hand, assumptions made during design are not valid any more due to change of the loads, e.g., increasing traffic loads in terms of number and weights. On the other hand, design codes evolved over time in such a way that existing structures do not comply with today’s standards. In all these cases, the through-life management is an important tool to maintain the accessibility of existing structures with known reliability.&#13;
&#13;
In line with the new Model Code for Concrete Structures, which includes guidance for both – design of new structures and assessment of existing structures, the Task Group 3.3 focused on the compilation of a state-of-the-art guideline for the through-life management of existing concrete structures, including: &#13;
&#13;
Data acquisition by testing and monitoring techniques; &#13;
Condition assessment for the evaluation of existing structures; &#13;
Performance prediction using advanced methods; &#13;
Decision-making procedures to perform a complete assessment of existing structure.&#13;
The overall objective of the through-life management is the assessment of the current condition and the estimation of the remaining service life under consideration of all boundary conditions.</abstract>
    <parentTitle language="eng">Existing concrete structures life management, testing and structural health monitoring</parentTitle>
    <identifier type="isbn">978-2-88394-172-4</identifier>
    <identifier type="doi">10.35789/fib.BULL.0109.Ch02</identifier>
    <identifier type="url">https://doi.org/10.35789/fib.BULL.0109</identifier>
    <identifier type="issn">1562-3610</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>M. Bartolac</author>
    <author>J. Bien</author>
    <author>M. Górski</author>
    <author>S. Keßler</author>
    <author>Stefan Küttenbaum</author>
    <author>M. Kuzawa</author>
    <author>J. Ley</author>
    <author>Stefan Maack</author>
    <author>A. Mendler</author>
    <author>P. Ryjáček</author>
    <author>L. Santos</author>
    <author>E. Verstrynge</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Life management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concrete</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Non-destructive testing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>State-of-the-art</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>62546</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Embedded Sensors for Quality Control and Structural Integrity Monitoring of Large scale 3DCP Structures</title>
    <abstract language="eng">Additive manufacturing of concrete structures is a novel and emerging technology. Free contouring in civil engineering, which allows for entirely new designs, is a significant advantage. Although several techniques and approaches demonstrate these advantages, quality control during printing is highly challeng-ing and rarely applied. Due to the continuous mixing process used in 3D concrete printing, it is impossible to exclude variations in the dry mixture or water content, and a single test sample is insufficient to represent the whole structure. A defect in one layer during printing can affect the integrity of the entire structure.</abstract>
    <enrichment key="eventName">34th Annual Conference &amp; Exhibition on non destructive evaluation &amp; enabling technologies</enrichment>
    <enrichment key="eventPlace">Chennai, India</enrichment>
    <enrichment key="eventStart">12.12.2024</enrichment>
    <enrichment key="eventEnd">14.12.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Amarteja Kocherla</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Embedded sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Additive manufacturing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concrete printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Piezo sensors</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
  </doc>
  <doc>
    <id>60084</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>36</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>report</type>
    <publisherName>Forschungsgemeinschaft für Straßen- und Verkehrswesen e.V.</publisherName>
    <publisherPlace>Köln</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sensors for the structural assessment of roads</title>
    <abstract language="eng">This working paper summarises the current state of knowledge and research on the application of sensors in road pavements, designed to record input quantities and characteristics for structural assessment. In this working paper, sensors generally refer to technical equipment that can used to record the values of physical quantities and display them for interpretation.&#13;
The working paper deals with every type of sensor that is permanently connected to the road, i.e. sensors that are installed – in the bound and unbound courses of the superstructure as well as in the sub-base/sub-structure, – next to or above the road (for example on masts) and can contribute to structural recording and its subsequent assessment. This can also include sensors that are primarily used for a different purpose (e.g. traffic control). However, this working paper only describes the application of sensors that are installed primarily for other purposes for the sake of completeness; special publications (e.g. Notes on detection technologies in road traffic) are available for the respective installation situations.</abstract>
    <parentTitle language="eng">Working paper of the road and transportation research association ({FGSV})</parentTitle>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>D. Jansen</author>
    <author>S. Bald</author>
    <author>J. Birbaum</author>
    <author>Stefan Küttenbaum</author>
    <author>J. Krause</author>
    <author>Stefan Maack</author>
    <author>S. Pichottka</author>
    <author>M. Scherkenbach</author>
    <author>Christoph Strangfeld</author>
    <author>K. Villaret</author>
    <author>J. Wöllenstein</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Asphalt</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concrete</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement chain</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor technology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Condition assessment</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
  </doc>
  <doc>
    <id>56159</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>75</pageFirst>
    <pageLast>84</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>expert verlag</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Datenablage als Grundlage für den digitalen Zwilling eines Bauwerks – Verwaltungsschale BBox</title>
    <abstract language="deu">Der Weg zur digitalen Brücke ist eingeschlagen. Im Bereich der Planung, Bauüberwachung und -ausführung wird aktuell das Building Information Modelling (BIM) eingeführt. Ist eine Brücke in der Baulast von Bund und Ländern errichtet, wird ihr Zustand im Zuge von wiederkehrenden Bauwerksprüfungen nach DIN 1076 lückenlos überwacht. Abgespeichert werden die Informationen der Überwachung in einer Datenbank (ASB-ING Teilsystem Bauwerksdaten). Aus dieser Datenbank können anschließend relevante Informationen in ein objektspezifisches Bauwerksbuch überführt werden. In dieser Datenbank werden im Vorfeld definierte Daten abgespeichert. Reine Messdaten oder aber auch die verwendeten ingenieurtechnisch-physikalischen Modelle verbleiben in der Regel bei den beauftragen Dienstleistern. Zusammengefasst existieren verschiedene parallele Insellösungen der Informationsablage. Gegenstand verschiedener Forschungsanstrengungen ist es nun Lösungen zu finden, die einen ganzheitlichen Ansatz für den Informationsfluss von der Errichtung über den Betrieb bis hin zum Abbruch eines Bauwerkes sicherstellen. Im Rahmen einer prototypischen Entwicklung wird auf Grundlage, des für die Industrie 4.0 entwickelten open source Software Framework Eclipse BaSyx, ein möglicher Lösungsansatz – die Verwaltungsschale BBox (Bridge Box) - präsentiert. Dieser Lösungsansatz stellt das physikalisch-ingenieurtechnische Modell zur Zustandsbewertung der Brücke gedanklich in den Mittelpunkt. Unter der Voraussetzung einer durchgängigen Digitalisierung der gesamten Prozessschritte innerhalb der Lebensdauer der Brücke, kann jeder Planungs- und Fertigungsschritt, die Instandhaltung einschließlich des Rückbaus erfasst werden. Das Besondere hierbei ist, dass auch die Grundlagen der Bewertung, wie Messdaten, mit abgespeichert werden. Die Modellstruktur der Verwaltungsschale erlaubt hierbei eine bedarfsgerechte Granularität hinsichtlich der Messdaten auf allen virtuellen Ebenen, um das physikalisch-ingenieurtechnisch Modell mit Daten zu versorgen. Die gewählte Form der Datenablage bildet den Grundstein für zukünftige KI-Auswertungen z.B. mit den Methoden des Maschinellen Lernens (ML). Der Zugriff auf die dafür jeweils benötigten Daten wird durch die Ablage der Daten einschließlich Metadaten und den Einsatz einer Standard S3 Schnittstelle stark vereinfacht. Der Beitrag stellt die Entwicklung und die Systemarchitektur der BBox am Beispiel von 2 Projekten dar.</abstract>
    <parentTitle language="deu">Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur (DTV) Fachtagung über Planung, Bau, Betrieb von Brücken, Tunneln, Straßen digital</parentTitle>
    <identifier type="issn">2748-9221</identifier>
    <identifier type="url">https://elibrary.narr.digital/article/99.125005/dtv202110075</identifier>
    <enrichment key="eventName">1. Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur</enrichment>
    <enrichment key="eventPlace">Esslingen, Germany</enrichment>
    <enrichment key="eventStart">29.05.2021</enrichment>
    <enrichment key="eventEnd">30.05.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>T. Braml</author>
    <author>J. Wimmer</author>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>T. Kuhn</author>
    <author>M. Reingruber</author>
    <author>A. Gordt</author>
    <author>J. Hamm</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Brücke</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitalisierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitaler Zwilling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Datenablage</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>51361</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Wenn es im Holz knackt. Über die Herausforderung, kritische Versagensvorgänge in Holzstrukturen mittels Schallemissionsanalyse zu identifizieren</title>
    <abstract language="deu">Um die Versagensabläufe über die verschiedenen Skalen im Holzwerkstoff verfolgen zu können, werden Zugversuche an Lagenhölzern mittels Schallemissionsmessung überwacht. Synchron erfolgen In-situ-Messungen mit Digitaler Bildkorrelation bzw. Synchrotron-Mikro-Computertomographie. Die Kombination aller Ergebnisse wie auch die Anwendung der frequenzbasierten Mustererkennung und die Simulation ausgewählter Versuche zielen auf die Identifizierung zugrunde liegender Mechanismen hin. Abschließend werden Ansätze für ein Monitoring von Holzstrukturen diskutiert.</abstract>
    <enrichment key="eventName">419. Sitzung AK Berlin der DGZFP</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">15.09.2020</enrichment>
    <enrichment key="eventEnd">15.09.2020</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Franziska Baensch</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Acoustic Emission (AE)</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Holzwerkstoffe</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Mustererkennung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Monitoring Konzept</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="themenfelder" number="">Degradationsmechanismen</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>58014</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>26</pageLast>
    <pageNumber/>
    <edition/>
    <issue>13</issue>
    <volume>23</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Machine Learning Approaches in Brillouin Distributed Fiber Optic Sensors</title>
    <abstract language="eng">This paper presents reported machine learning approaches in the field of Brillouin distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems from their capability to continuously monitor temperature and strain along kilometer-long optical fibers, rendering them attractive for industrial applications, such as the structural health monitoring of large civil infrastructures and pipelines. In recent years, machine learning has been integrated into the Brillouin DFOS signal processing, resulting in fast and enhanced temperature, strain, and humidity measurements without increasing the system’s cost. Machine learning has also contributed to enhanced spatial resolution in Brillouin optical time domain analysis (BOTDA) systems and shorter measurement times in Brillouin optical frequency domain analysis (BOFDA) systems. This paper provides an overview of the applied machine learning methodologies in Brillouin DFOSs, as well as future perspectives in this area.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="doi">10.3390/s23136187</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-580145</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">02.08.2023</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Christos Karapanagiotis</author>
    <author>Katerina Krebber</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distributed fiber optic sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BOTDA</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BOFDA</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Strain and temperature measurements</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial neural networks</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Wasserstoff</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/58014/sensors-23-06187.pdf</file>
  </doc>
  <doc>
    <id>56915</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>5027</pageFirst>
    <pageLast>5041</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>31</volume>
    <type>article</type>
    <publisherName>OPTICA</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Machine learning assisted BOFDA for simultaneous temperature and strain sensing in a standard optical fiber</title>
    <abstract language="eng">We report, to our knowledge for the first time on simultaneous distributed temperature and strain sensing in a standard telecom optical fiber using a machine learning assisted Brillouin frequency domain analysis (BOFDA) system. The well-known temperature and strain cross-sensitivity problem is addressed by developing a BOFDA system with a high signal-to-noise ratio and applying machine learning. The spectrum consists of four highly resolved peaks, whose Brillouin frequency shifts are extracted and serve as features for the machine learning algorithms. The spectra result from a 450-m standard SMF-28 optical fiber, and particularly from a segment of 30 m. This fiber segment is coiled around a stretcher and placed in a climate chamber. The applied temperature and strain values range from 20 °C to 40 °C and from 0 µɛ to 1380 µɛ, respectively. The total measurement time to achieve a high SNR and resolve four peaks with a spatial resolution of 6 m is 16 min. To discriminate temperature and strain effects, simple frequentist and more sophisticated Bayesian-based algorithms are employed with the powerful Gaussian process regression (GPR) delivering the best performance in terms of temperature and strain errors, which are found to be 2 °C and 45 µɛ, respectively. These errors are calculated using leave-one-out cross-validation, so that an unbiased estimation of the sensor’s performance is provided.</abstract>
    <parentTitle language="eng">Optics Express</parentTitle>
    <identifier type="doi">10.1364/OE.480224</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-569155</identifier>
    <identifier type="issn">1094-4087</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">13.03.2023</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Christos Karapanagiotis</author>
    <author>Konstantin Hicke</author>
    <author>Katerina Krebber</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Brillouin distributed fiber optic sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Temperature and strain sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BOFDA</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/56915/oe-31-3-5027.pdf</file>
  </doc>
  <doc>
    <id>63092</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>4</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Focussed sound field of thermoacoustic transmitters</title>
    <abstract language="eng">The thermoacoustic effect offers a method for selectively exciting broadband and focused ultrasonic waves, which can be utilized in air-coupled ultrasonic testing of lightweight components that might otherwise sustain damage from liquid couplants. Thermoacoustic transmitters are composed of an electrically conductive layer deposited on an insulating substrate. When electrical pulses are applied, the conductive layer heats, briefly warming the adjacent air and inducing thermal expansion, which generates an acoustic wave. In testing applications, the thermoacoustic transmitter is positioned at the focal distance to the structure under examination, where the resolution of the resulting ultrasonic image is influenced by the focus diameter. To optimize imaging resolution, understanding the focusing characteristics of thermoacoustic transmitters is essential. In this study, thermoacoustic transmitters with an indium tin oxide (ITO) layer on a quartz glass substrate were developed. Geometrical parameters, including substrate curvature and conductive layer thickness, along with electrical excitation parameters, were systematically varied to investigate their impact on the sound field up to approximately 1 MHz. The results indicate that, among the parameters studied, substrate curvature exerts the most significant influence on the sound field.</abstract>
    <parentTitle language="eng">Tagung DAS-DAGA</parentTitle>
    <enrichment key="eventName">DAS-DAGA Tagung</enrichment>
    <enrichment key="eventPlace">Kopenhagen, Danmark</enrichment>
    <enrichment key="eventStart">17.03.2025</enrichment>
    <enrichment key="eventEnd">20.03.2025</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <author>Mate Gaal</author>
    <author>Majid Ahmadzadeh</author>
    <author>Matthias Weise</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Air-coupled ultrasound</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Thermoacoustic transmitter</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Focussed transducer</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">6 Materialchemie</collection>
    <collection role="institutes" number="">6.1 Oberflächen- und Dünnschichtanalyse</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.4 Akustische und elektromagnetische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>63121</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Emissivity Prediction of Rough Cast Iron for Laser Thermography</title>
    <abstract language="eng">This study presents a method for predicting the emissivity of rough cast iron surfaces to enhance the accuracy of laser thermography in industrial non-destructive testing (NDT). Traditional emissivity measurements are impractical in industrial settings due to environmental interference and equipment limitations. The proposed approach replaces complex setups like integrating spheres with a simplified illumination unit and reflection measurements. By leveraging known material properties and surface characteristics, an algorithm predicts directional emissivity. Experimental results of an initial feasibility study show strong agreement between predicted and measured values, demonstrating the method’s potential for real-time emissivity correction in industrial thermographic inspections.</abstract>
    <enrichment key="eventName">Advanced Infrared Technology and Applications (AITA) 2023</enrichment>
    <enrichment key="eventPlace">Venice, Italy</enrichment>
    <enrichment key="eventStart">10.09.2023</enrichment>
    <enrichment key="eventEnd">13.09.2023</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Nils Scheuschner</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Thermography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Laser</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NDT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cast iron</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.3 Thermografische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="institutes" number="">VP Vizepräsident</collection>
    <collection role="institutes" number="">VP.2 Informationstechnik</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>61217</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>1</pageFirst>
    <pageLast>10</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Feuchteverhalten von Lehmsteinmauerwerk unter natürlichen Klimabedingungen – Experimentelle und numerische Untersuchungen</title>
    <abstract language="deu">Druckfestigkeit und Elastizitätsmodul von Lehmsteinmauerwerk nehmen mit steigendem Feuchtegehalt ab, weswegen die Mauerwerksdruckfestigkeit bei der Bemessung gemäß DIN 18940 in Abhängigkeit der maximal zu erwartenden Ausgleichsfeuchte abgemindert wird. Da bisher allerdings keine Messdaten zum Feuchtegehalt von Lehmsteinmauerwerk unter natürlichen Klimabedingungen vorliegen, stellen die normativen Grenzwerte lediglich eine konservative Abschätzung dar. Um die Feuchtegehalte von Lehmsteinmauerwerk und somit die Tragfähigkeit realitätsnah einschätzen zu können, wurden im Rahmen der vorliegenden Arbeit sowohl experimentelle als auch numerische Untersuchungen zum feuchtetechnischen Verhalten durchgeführt. Dabei wurden erstmalig magnetresonanzspektroskopische Untersuchungen an tragenden Lehmsteinen unterschiedlicher Herstellungsmethoden angewandt Weiterhin wurden Luftfeuchtesensoren in Lehmsteinmauerwerk eingebettet, um hygrische Langzeitfeuchtemessungen unter natürlichen Klimabedingungen durchzuführen. Auf Basis dieser Erkenntnisse wurde schließlich ein numerisches Modell kalibriert und Parameterstudien durchgeführt, um den unter realen Klimabedingungen tatsächlich auftretenden Feuchtegehalt im Lehmmauerwerk sowie dessen Verteilung über den Querschnitt einschätzen zu können und die normativen Grenzwerte zu überprüfen. Gezeigt wurde, dass die realitätsnahe instationäre Berechnung des Feuchtetransports mit üblichen hygrothermischen Simulationsprogrammen auf Basis einfacher feuchtetechnischer Kennwerte auch bei Lehmbaustoffen möglich ist. Der Einfluss des Quellens und Schwindens der enthaltenen Tonminerale und organischen Bestandteile wurde durch eine Modifikation bei der Ermittlung des Wasseraufnahmekoeffizienten explizit berücksichtigt und ist somit auch in den daraus abgeleiteten Transportkoeffizienten enthalten. Darüber hinaus wurde die Feuchtespeicherfunktion im überhygroskopischen Bereich auf Grundlage der Porenvolumenverteilung abgeschätzt. Die Approximation der Transportkoeffizienten und der Feuchtespeicherfunktion stellt dabei eine wesentliche Vereinfachung für Lehmbaustoffe dar, da ihre experimentelle Bestimmung aufgrund des Kontaktes mit Flüssigwasser kaum möglich ist. In Bezug auf das Feuchteverhalten üblicher Außenwandaufbauten von Wohnräumen konnte festgestellt werden, dass die Ausgleichsfeuchte im Lehmsteinmauerwerk stets unterhalb des in Nutzungsklasse 1 gemäß DIN 18940 zulässigen Grenzwertes von 65 % liegt. Je nach Putzsystem und Dämmstoff reduziert sich die Ausgleichsfeuchte auf Werte unter 60 %, wobei sich eine annähernd gleichmäßige Verteilung der Feuchte über den Mauerwerksquerschnitt hinweg einstellt. Bei Außenwänden von unbeheizten Räumen ergab sich eine maximale Ausgleichsfeuchte, die über weite Teile des Querschnitts unterhalb von 80 % lag. Der Ansatz einer maximalen Ausgleichsfeuchte von 90 % in Nutzungsklasse 2 ist folglich zu hoch angesetzt. Die zulässige Ausgleichsfeuchte bzw. der Umgebungsfeuchtefaktor in Nutzungsklasse 2 sollte dementsprechend angepasst werden</abstract>
    <parentTitle language="deu">LEHM 2024 – 9. Internationale Fachtagung für Lehmbau</parentTitle>
    <enrichment key="eventName">LEHM 2024 – 9. Internationale Fachtagung für Lehmbau</enrichment>
    <enrichment key="eventPlace">Weimar, Germany</enrichment>
    <enrichment key="eventStart">27.09.2024</enrichment>
    <enrichment key="eventEnd">29.09.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Philipp Wiehle</author>
    <author>M. Härder</author>
    <author>Christoph Strangfeld</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Lehmstein</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Mauerwerk</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Materialfeuchte</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Feuchtemonitoring</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>hygrothermische Simulation</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
  </doc>
  <doc>
    <id>62545</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">DZSF - Rrissdetektion Spannbetonschwellen - Statuspräsentation Los C (BAM)</title>
    <abstract language="deu">Vorhaben 8082: Spannbetonschwellen sollen mit Hilfe von akustischen Verfahren untersucht und der Zustand abgeleitet werden. Die Ergebnisse von Los C- Arbeitspaket 1 werden dem Deutschen Zentrum für Schienenforschung und Siemens Mobility vorgestellt.</abstract>
    <enrichment key="eventName">DZSF - Statuspräsentation</enrichment>
    <enrichment key="eventPlace">Dresden, Germany</enrichment>
    <enrichment key="eventStart">12.02.2025</enrichment>
    <enrichment key="eventEnd">12.02.205</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Christoph Strangfeld</author>
    <author>David Ringeloth</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Akustische Verfahren</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Spannbetonschwellen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zerstörungsfreie Prüfung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zustandsermittlung</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
  </doc>
  <doc>
    <id>63152</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>242</volume>
    <type>article</type>
    <publisherName>Oxford University Press (OUP)</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Round-robin test of SIP laboratory measurements using electrical test networks</title>
    <abstract language="eng">This study presents the results of an interlaboratory test designed to evaluate the accuracy of spectral induced polarization (SIP) measurements using controlled electrical test networks. The study, conducted in Germany since 2006, involved 12 research institutes, six different impedance measurement devices and four types of electrical test networks specifically designed to evaluate phase shift errors in SIP measurements. The test networks, with impedances ranging from 100 to 150 kΩ, represent high-impedance samples with different phase characteristics, and pose the measurement challenges typical of such samples, including high contact impedances and parasitic capacitances. Four key findings emerged from the study: (1) Impedance measurements across all devices showed deviations within 1 per cent over a wide frequency range (0.001–1000 Hz); (2) phase errors remained below 1 mrad up to 100 Hz for most devices, but increased at higher frequencies due to parasitic capacitances and electromagnetic coupling effects; (3) lab-specific instruments have lower phase errors than field instruments when used in a laboratory environment, primarily due to the effects of long cables and too low input impedances of the field instruments; and (4) short cables and driven shielding technology effectively minimized parasitic capacitance and improved measurement accuracy. The study highlights the usefulness of test networks in assessing the accuracy of SIP measurements and raises awareness of the various factors influencing the quality of SIP data.</abstract>
    <parentTitle language="eng">Geophysical Journal International</parentTitle>
    <identifier type="issn">0956-540X</identifier>
    <identifier type="doi">10.1093/gji/ggaf153</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-631522</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T04:01:23Z","timestamp":1747713683040,"version":"3.40.5"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,4,27]],"date-time":"2025-04-27T00:00:00Z","timestamp":1745712000000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,13]]},"abstract":"&lt;jats:title&gt;SUMMARY&lt;\/jats:title&gt;\n               &lt;jats:p&gt;This study presents the results of an interlaboratory test designed to evaluate the accuracy of spectral induced polarization (SIP) measurements using controlled electrical test networks. The study, conducted in Germany since 2006, involved 12 research institutes, six different impedance measurement devices and four types of electrical test networks specifically designed to evaluate phase shift errors in SIP measurements. The test networks, with impedances ranging from 100 to 150 k\u03a9, represent high-impedance samples with different phase characteristics, and pose the measurement challenges typical of such samples, including high contact impedances and parasitic capacitances. Four key findings emerged from the study: (1) Impedance measurements across all devices showed deviations within 1 per\u2009cent over a wide frequency range (0.001\u20131000\u00a0Hz); (2) phase errors remained below 1 mrad up to 100\u00a0Hz for most devices, but increased at higher frequencies due to parasitic capacitances and electromagnetic coupling effects; (3) lab-specific instruments have lower phase errors than field instruments when used in a laboratory environment, primarily due to the effects of long cables and too low input impedances of the field instruments; and (4) short cables and driven shielding technology effectively minimized parasitic capacitance and improved measurement accuracy. 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    <abstract language="eng">Development of reliable age prediction models are crucial in monitoring the formation of oxide layer and degradation of TBC at regular intervals. This study proposes an automated classification of isothermal heat-treated TBC samples using temperature data, which helps in predicting the TBC life and monitoring the TBC degradation. TBC-coated samples are isothermal heat-treated at 1000 °C, and the initial growth of thermally grown oxide is monitored using a non-destructive thermal imaging technique. The proposed study integrates data-driven AI (DAI) models and feature extraction techniques to interpret complex thermal patterns measured from the TBC coating surface. The performance of the proposed classification framework is tested using deep learning and classical machine learning models with different types and window sizes of input data. Input data used for validation are raw experiment data, logarithmic of experiment data, polynomial fit data, and thermal signal reconstruction fit coefficients. The maximum c</abstract>
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    <title language="deu">Zerstörungsfreie Prüfung im Bauwesen - eine zuverlässige Informationsquelle</title>
    <abstract language="deu">Inhalt der Präsentation:&#13;
- Einführung in das Prinzip der Laufzeitmessung&#13;
- Vorteile bei der Anwendung von Volumenverfahren an Spannbetonbrücken&#13;
- Möglichkeiten zur Beurteilung der Leistungsfähigkeit von ZfP-Verfahren und zur Verwendung der Messergebnisse in probabilistischen Nachweisen von Bestandstragwerken</abstract>
    <enrichment key="eventName">Fachtagung ZfPStatik 2020</enrichment>
    <enrichment key="eventPlace">Munich, Germany</enrichment>
    <enrichment key="eventStart">18.02.2020</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zerstörungsfreie Prüfung im Bauwesen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Messunsicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Nachrechnung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Beurteilung von Bestandstragwerken</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
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    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>63251</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
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    <title language="deu">Einsatz neuartiger Erwärmungsstrategien mit zeitlicher Modulation zur Steigerung der Detektionsgrenzen in der aktiven Laserthermografie</title>
    <abstract language="deu">Moderne Lasersysteme haben sich als vielseitige Wärmequellen für aktive thermografische Prüfungen erwiesen. Im Vergleich zu herkömmlichen Lichtquellen wie Blitz- oder Halogenlampen können ihre Ausgangsleistungen leicht moduliert werden, was eine Vielzahl komplexer Anregungen ermöglicht. Diese Studie untersucht die Wirksamkeit verschiedener zeitlich strukturierter Erwärmungsmethoden zur Detektion und Tiefenbestimmung von Defekten.&#13;
&#13;
Insgesamt werden verschiedene komplexe zeitlich strukturierte Erwärmungsmuster verglichen, darunter Einzelpuls und kodierte Anregung mit Barker-Codes und Legendre-Sequenzen, sowie klassische Lock-in- Modulation und neuartige Multifrequenz-Lock-in Anregung. Die Untersuchung konzentriert sich auf dabei auf die Erreichung einer maximalen Temperaturerhöhung zur Steigerung des Signal-Rauschverhältnisses auch bei Anregungen mit großen Frequenzinhalt und die erreichte Qualität der Defekterkennung bei unterschiedlichen Anregungsschemata.&#13;
&#13;
Die experimentellen Ergebnisse zeigen, dass kodierte Anregungen wie Barker- und Legendre-Sequenzen im Vergleich zur Einzelpulsheizung nicht nur höhere Temperaturanstiege, sondern bei gleichem Frequenzinhalt auch eine bessere Defekterkennung ermöglichen. Insbesondere die Mehrton-Modulation zeigte den höchsten Temperaturanstieg und ermöglicht die Bewertung in verschiedenen Tiefen ohne Verlängerung der Messzeit. Die Verwendung kodierter Anregungen bietet signifikante Vorteile bei der thermografischen Erkennung interner Defekte. Die Ergebnisse dieser Studie tragen dazu bei, die Effizienz und Genauigkeit der thermografischen Prüfmethoden zu verbessern, insbesondere bei der Untersuchung von Materialien mit hoher Wärmeleitfähigkeit und tief verborgenen Defekten.&#13;
&#13;
Besonders an den untersuchten Modulationsmethoden profitieren alle Anregungsmethoden, die aktuell technologie- oder prinzipbedingt unter geringen realisierbaren Ausgangsleistungen leiden. Besonders hervorzuheben ist hier die Nutzung von Laserprojektoren als Wärmequelle, die vielseitig einsetzbar eine räumlich strukturierte Erwärmung für thermografische Prüfungen ermöglichen, jedoch bisher stark in ihrer optischen Ausgangsleistung limitiert sind.</abstract>
    <identifier type="url">https://www.ndt.net/?id=31259</identifier>
    <enrichment key="eventName">Jahrestagung der Deutschen Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) 2025</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">26.05.2025</enrichment>
    <enrichment key="eventEnd">28.05.2025</enrichment>
    <enrichment key="RelatedIdentifier">10.58286/364MS</enrichment>
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    <author>Julien Lecompagnon</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Thermografie</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Laser</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Kodierte Anregung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Pulskompression</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.3 Thermografische Verfahren</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>54019</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>509</pageFirst>
    <pageLast>517</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>200</volume>
    <type>bookpart</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">From Uncertainty in Measurement to Certainty in Bridge Reassessment</title>
    <abstract language="eng">"The reassessment of bridges continues to take great importance both nationally and internationally. A major challenge is to find computation models reflecting the actual properties of the considered structures sufficiently accurate. Besides regular inspections, the conduction of advanced measurements is suitable to generate reliable information about a structure to be assessed. Prior to incorporating measurement results in reassessment, the relevance, the trueness, and the precision of the measured information needs to be stated. On the one hand, the use of information whose quality has not been assessed can lead to errors with serious consequences. On the other, the measurement of irrelevant information is inefficient. Although the use of measured data in assessment is currently mostly unregulated, their appreciation in reliability analyses is beneficial since the built environment can be assessed more realistically. Utilizing NDT in reassessment has the potential to extend remaining lifetimes of a structure, save resources, and improve infrastructural availabilities. The power of judgment regarding the decision on the reliability of an existing structure can be increased.     &#13;
&#13;
In this contribution, an approach is outlined to process non-destructively gathered measurement data in a comparableway in order to include themeasured information in probabilistic reliability assessments of existing structures. An essential part is the calculation of measurement uncertainties. The effect of incorporating evaluated NDT-results is demonstrated by means of a prestressed concrete bridge and GPR measurements conducted on this bridge as a case-study. The bridge is assessed regarding SLS Decompression using the NDT-results."</abstract>
    <parentTitle language="eng">Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. EUROSTRUCT 2021. Lecture Notes in Civil Engineering</parentTitle>
    <identifier type="doi">10.1007/978-3-030-91877-4_58</identifier>
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    <author>Stefan Küttenbaum</author>
    <author>T. Braml</author>
    <author>A. Taffe</author>
    <author>Stefan Maack</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Assessment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Existing structures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NDT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concrete</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
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    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>54017</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>1</pageFirst>
    <pageLast>9</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Ernst &amp; Sohn</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Digitaler Zwilling: Verwaltungsschale BBox als Datenablage über den Lebenszyklus einer Brücke</title>
    <title language="eng">Digital twin: Asset administration shell BBox as data storage over the life cycle of a bridge</title>
    <abstract language="deu">Auf dem Weg zur digitalen Brücke existieren bereits erste Lösungen, die den Lebenszyklus einer Brücke abbilden können. Für die Planung, den Bau und den Unterhalt stehen unterschiedlichste Werkzeuge, z. B. BIM, DIN 1076, SIB-Bauwerke, Monitoring etc. zur Verfügung, die jeweils mit unterschiedlichen Datenformaten arbeiten. Für ein intelligentes Erhaltungsmanagement müssen aber alle Daten mit den verschiedenen Datenformaten zusammengeführt, abgelegt und so verwaltet werden können, dass über den gesamten Lebenszyklus einer Brücke die Abbildung eines ganzheitlichen digitalen Zwillings eines Bauwerks möglich ist. Die Autoren haben dafür mit BBox den Prototyp einer Verwaltungsschale (VWS) auf Grundlage von Industrie 4.0 entwickelt. Damit wird das physikalisch-ingenieurtechnische Modell zur Zustandsbewertung der Brücke in den Mittelpunkt gestellt und der gesamte Lebenszyklus einer Brücke kann unabhängig von Datenformaten digital erfasst werden. Da der Aufbau der VWS durch die Granularität optimal strukturiert ist, bietet die Ablage und Einspeisung von Messdaten sowohl die Grundlage eines Live-Monitorings als auch den Grundstein für maschinelles Lernen (ML). Der Datenzugriff via S3-Schnittstelle erleichtert die Entwicklung von eigenen Prognosemodellen mit Informationsmustern (SHIP – Structural Health Information Pattern). Am Beispiel der Heinrichsbrücke Bamberg wird die praktische intelligente Umsetzung des Bauwerksmonitorings inkl. VWS mit Informationsmustern und ML gezeigt.</abstract>
    <abstract language="eng">On the way to the digital bridge, initial solutions already exist that can map the life cycle of a bridge. A wide variety of tools are available for planning, construction and maintenance, e. g. BIM, DIN 1076, SIB structures, monitoring etc., each of which works with different data formats. For an intelligent maintenance management, however, all data with the different data formats must be merged, stored, and managed in such a way that the mapping of a holistic digital twin of a structure is possible over the entire life cycle of a bridge. For this purpose, the authors have developed BBox, a prototype of an asset administration shell (AAS) based on Industry 4.0. This places the physical-engineering model for assessing the condition of the bridge at the center, and the entire life cycle of a bridge can be digitally recorded independently of data formats. Since the structure of the AAS is optimally structured through granularity, the storage and feeding of measurement data provides both the basis of live monitoring and the cornerstone for machine learning (ML). The data access via S3 interface facilitates the development of own prognosis models with information patterns (SHIP – Structural Health Information Pattern). Using the Heinrichsbrücke Bamberg as an example, the practical intelligent implementation of structural monitoring incl. AAS with information patterns and ML is shown.</abstract>
    <parentTitle language="deu">Bautechnik</parentTitle>
    <identifier type="issn">1437-0999</identifier>
    <identifier type="doi">10.1002/bate.202100094</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">13.01.2022</enrichment>
    <author>T. Braml</author>
    <author>J. Wimmer</author>
    <author>Y. Varabei</author>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>T. Kuhn</author>
    <author>M. Reingruber</author>
    <author>A. Gordt</author>
    <author>J. Hamm</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitaler Zwilling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Lebenszyklus</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bauwerksmonitoring</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Industrie 4.0</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Maschinelles Lernen</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digital twin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Life cycle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industry 4.0</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine learning</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>55474</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
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    <publisherName/>
    <publisherPlace/>
    <creatingCorporation>IASMIRT International Association for Structural Mechanics in Reactor Technology</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Discussion on data evaluation of tomographic and numerical results</title>
    <abstract language="eng">The contribution discusses the processing and analysis of data generated on two different ways of investigations for impact damage in reinforced concrete structures. Damage investigations are essential to determine type and characteristics of damage and thus the residual capacity. Damage describing data is generated using two different types of investigation, a non-destructive tomographic as well as numerical examination. Subsequently, data of both sources was merged and analysed. Within the research project “Behaviour of structural components during impact load conditions caused by aircraft fuel tank collision” reinforces concrete plates were damaged by impact loading, see Hering (2020). Afterwards the damaged specimens were investigated tomographically as well as numerically using several methods and models. Aim of the presented research work was to specify an objective comparability of numerical data with experimentally determined damage patterns and based on this, to establish a quantitative damage evaluation.</abstract>
    <parentTitle language="eng">Proceedings of 26th International Conference on Structural Mechanics in Reactor Technology</parentTitle>
    <enrichment key="eventName">26th International Conference on Structural Mechanics in Reactor Technology</enrichment>
    <enrichment key="eventPlace">Potsdam, Germany</enrichment>
    <enrichment key="eventStart">10.07.2022</enrichment>
    <enrichment key="eventEnd">15.07.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Falk Hille</author>
    <author>Deborah Nerger</author>
    <author>Robabeh Moosavi</author>
    <author>Marcel Grunwald</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Impact damage on reinforced concrete</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tomographic damage evaluation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Numerical damage simulation</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.5 Röntgenbildgebung</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>55476</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Discussion on data evaluation of tomographic and numerical results</title>
    <abstract language="eng">The contribution discusses the processing and analysis of data generated on two different ways of investigations for impact damage in reinforced concrete structures. Damage investigations are essential to determine type and characteristics of damage and thus the residual capacity. Damage describing data is generated using two different types of investigation, a non-destructive tomographic as well as numerical examination. Subsequently, data of both sources was merged and analysed. Within the research project “Behaviour of structural components during impact load conditions caused by aircraft fuel tank collision” reinforces concrete plates were damaged by impact loading, see Hering (2020). Afterwards the damaged specimens were investigated tomographically as well as numerically using several methods and models. Aim of the presented research work was to specify an objective comparability of numerical data with experimentally determined damage patterns and based on this, to establish a quantitative damage evaluation.</abstract>
    <enrichment key="eventName">26th International Conference on Structural Mechanics in Reactor Technology</enrichment>
    <enrichment key="eventPlace">Potsdam, Germany</enrichment>
    <enrichment key="eventStart">10.07.2022</enrichment>
    <enrichment key="eventEnd">15.07.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Falk Hille</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Impact damage of reinforced concrete</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tomographic damage evaluation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Numerical simulation of impact damage</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.5 Röntgenbildgebung</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>55657</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">On the Treatment of Measurement Uncertainty in Stochastic Modeling</title>
    <abstract language="eng">Measurement uncertainty calculations in stochastic moddeling of time-independent, NDT-based random variables to be used in refined assessment of existing structures</abstract>
    <enrichment key="eventName">International Probabilistic Workshop 2022 (IPW2022)</enrichment>
    <enrichment key="eventPlace">Stellenbosch, South Africa</enrichment>
    <enrichment key="eventStart">08.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Assessment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Existing structures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement uncertainty</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
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    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
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  </doc>
  <doc>
    <id>55796</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
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    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards NDT supported decisions on the reliability of existing bridges</title>
    <abstract language="eng">1) Concept for the NDT-supported assessment of existing structures&#13;
2) Demonstration: Shear force analysis of a prestressed concrete bridge</abstract>
    <enrichment key="eventName">ICOSSAR 2021-2022,13th International Conference on Structural Safety &amp; Reliability</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">13.09.2022</enrichment>
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    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Nachrechnung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Zuverlässigkeitsbewertung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Messunsicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Querkraftnachweis</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>55991</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
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    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">On the accuracy of tendon localization in concrete using ultrasound</title>
    <abstract language="deu">Approaches to the development of a (GUM-) measurement model for the calculation of measurement uncertainties in the localization of tendons in concrete structures using the ultrasonic echo method including demonstration were presented.</abstract>
    <enrichment key="eventName">6th International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2022)</enrichment>
    <enrichment key="eventPlace">Cape Town, South Africa</enrichment>
    <enrichment key="eventStart">03.10.2022</enrichment>
    <enrichment key="eventEnd">05.10.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Reliability</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Measurement Uncertainty</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Non-Destructive Testing</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Existing Concrete Structures</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>61390</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">In situ Prozessüberwachung und Qualitätskontrolle bei der additiven Fertigung von Betonbauteilen</title>
    <abstract language="deu">In der additiven Fertigung von Beton wird kontinuierlich Material gemischt und verarbeitet. Dies erfordert eine kontinuierliche in situ Prozessüberwachung und Qualitätskontrolle. An der BAM wurde ein 3D-Betondrucker aufgebaut, der eine umfängliche Prozessüberwachung ermöglicht. Druck-, Temperatur- und Feuchtesensoren in der Pumpe und im Fördersystem erlauben ein kontinuierliches Monitoring des Frischbetons, während ein Laserlinienscanner am Druckkopf unmittelbar die gedruckte Ist-Kontur verfolgt. Die so gewonnenen Daten können Grundlage für die Erarbeitung von Normen für die additive Fertigung von Betonbauteilen sein und somit deren Standsicherheit gewährleisten.</abstract>
    <enrichment key="eventName">63. For‍schungs‍kol‍lo‍qui‍um des Deutschen Ausschuss für Stahlbeton</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">16.10.2024</enrichment>
    <enrichment key="eventEnd">17.10.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Christoph Strangfeld</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Additive Fertigung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Beton</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Frischbetoncharakterisierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Extrusionsdruck</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
  </doc>
  <doc>
    <id>61534</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>127</pageFirst>
    <pageLast>133</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Correlation of continuously measured in-line process parameters and extruded geometry in 3D concrete printing  experiments</title>
    <abstract language="eng">Additive manufacturing of concrete structures is a novel and emerging tech-nology. Free contouring in civil engineering, which allows for entirely new designs, is a significant advantage. Although several techniques and ap-proaches demonstrate these advantages, quality control during printing is highly challenging and rarely applied. Due to the continuous mixing process used in 3D concrete printing, it is impossible to exclude variations in the dry mixture or water content, and a single test sample is insufficient to represent the whole structure. A defect in one layer during printing can affect the in-tegrity of the entire structure. Therefore, continuous and real-time process monitoring is required to record and document the printing process.&#13;
&#13;
At the Bundesanstalt für Materialforschung und -prüfung (BAM), a test rig for 3D concrete printing was developed to monitor the properties during the printing process. This study investigates the relationship between geometric accuracy and process parameters (pressure, pump torque, print speed, layer height, water content) in extrusion-based 3D concrete printing. Using a high-precision laser scanner, the geometric measurements of printed concrete ele-ments are evaluated in real-time. The concrete elements are printed under controlled conditions with varied process parameters. Preliminary findings indicate a significant correlation between process variables and geometric ac-curacy.</abstract>
    <parentTitle language="eng">DC 2024, RILEM Bookseries 53</parentTitle>
    <identifier type="doi">10.1007/978-3-031-70031-6_15</identifier>
    <enrichment key="eventName">Fourth RILEM International Conference on Concrete and Digital Fabrication</enrichment>
    <enrichment key="eventPlace">Munich, Germany</enrichment>
    <enrichment key="eventStart">04.09.2024</enrichment>
    <enrichment key="eventEnd">06.09.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Olubunmi Anthony Jeyifous</author>
    <author>Eric Schönsee</author>
    <author>Christoph Strangfeld</author>
    <author>Götz Hüsken</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D concrete printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Geometric accuracy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Process monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quality control</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>61535</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Correlation of continuously measured in-line process parameters and extruded geometry in 3D concrete printing  experiments</title>
    <abstract language="eng">Additive manufacturing of concrete structures is a novel and emerging tech-nology. Free contouring in civil engineering, which allows for entirely new designs, is a significant advantage. Although several techniques and ap-proaches demonstrate these advantages, quality control during printing is highly challenging and rarely applied. Due to the continuous mixing process used in 3D concrete printing, it is impossible to exclude variations in the dry mixture or water content, and a single test sample is insufficient to represent the whole structure. A defect in one layer during printing can affect the in-tegrity of the entire structure. Therefore, continuous and real-time process monitoring is required to record and document the printing process.&#13;
&#13;
At the Bundesanstalt für Materialforschung und -prüfung (BAM), a test rig for 3D concrete printing was developed to monitor the properties during the printing process. This study investigates the relationship between geometric accuracy and process parameters.</abstract>
    <enrichment key="eventName">Fourth RILEM International Conference on Concrete and Digital Fabrication</enrichment>
    <enrichment key="eventPlace">Munich, Germany</enrichment>
    <enrichment key="eventStart">04.09.2024</enrichment>
    <enrichment key="eventEnd">06.04.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Olubunmi Anthony Jeyifous</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D concrete printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Geometric accuracy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Process monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quality control</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Leichtbau</collection>
  </doc>
  <doc>
    <id>61991</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of multiple impact-damaged reinforced concrete structures as a reference for liquid penetration behavior and tomographic studies</title>
    <abstract language="eng">The structural integrity of outer reinforced concrete (RC) containments of nuclear power plants provides an essential shield against external hazards. If this containment is damaged by an impact event, such as an aircraft crash, the question arises to which degree the reinforced concrete containment still has its protective capability. This concerns both purely structural protection and protection against liquids penetrating the interior of the containment. Due to the dimensions of the containment structures, it is difficult to perform real scale impact experiments, so in the past decades plate geometries at medium scale have been used for investigations. Detailed investigations on the structural behaviour of RC members or RC plates subjected to impact loading have already been presented in Just et al., Hering, Hering et al., Bracklow et al., Hille et al. and Nerger et al.&#13;
The following investigations deal with the single and multiple impact event (first hard impact and/or subsequent soft impact) on a RC specimen, which provides the basis for further investigations. A description of the test setup and the test procedure as well as a presentation of the test results from the impact tests are provided.&#13;
Furthermore, the experimental program is presented, which the damaged RC specimens are to undergo to deal with the question of how much the impact-damaged RC structure has become permeable to liquid media, such as water and kerosene, depending on the intensity of the impact. The aim of these following investigations is to develop a test setup that can be applied to investigate the liquid penetration behaviour (LPB) of small, medium, and large-scale RC members.&#13;
In addition to the liquid penetration experiments, the damaged specimens are to be examined by planar tomography to obtain the damage inside the specimen. The combination of damaging event, fluid penetration behaviour and tomography should enable a comprehensive understanding of the damage to the RC specimen.</abstract>
    <enrichment key="eventName">Conference: 27th International Conference on Structural Mechanics in Reactor Technology (SMiRT)</enrichment>
    <enrichment key="eventPlace">Yokohama, Japan</enrichment>
    <enrichment key="eventStart">04.03.2024</enrichment>
    <enrichment key="eventEnd">08.03.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Marcus Hering</author>
    <author>Georg Fiedler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Drop Tower</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hard Impact</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiple Impact</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Soft Impact</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.5 Röntgenbildgebung</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Security</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>62160</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Implementation and validation of robot-enabled embedded sensors for structural health monitoring</title>
    <abstract language="eng">In the past decades, structural health monitoring (SHM) has matured into a viable supplement to regular inspections, facilitating the execution of repair and maintenance work in the early stages of structural damage. With the advent of wireless technologies and advancements in information and communication technologies, civil infrastructure has been increasingly instrumented with wireless sensor nodes to record, analyze, and communicate data relevant to SHM. A promising method for SHM is to embed sensors directly into concrete for recording SHM data from inside structural elements. In this paper, a sensor system for embedment into concrete is proposed, able to assess SHM data recorded from concrete. Power is supplied to the sensors on-demand by quadruped robots, which also collect the SHM data via radio-frequency identification (RFID), providing an automated and efficient SHM process. In laboratory experiments, the capability of the sensor system of automatically collecting the SHM data using quadruped robots is validated. In summary, the integration of RFID technology and robot-based inspection presented in this study demonstrates a vital approach to evolve current SHM practices towards more digitalized and automated SHM.</abstract>
    <enrichment key="eventName">VDI Fachausschuss 4.52</enrichment>
    <enrichment key="eventPlace">Wernigerode, Germany</enrichment>
    <enrichment key="eventStart">04.09.2024</enrichment>
    <enrichment key="eventEnd">05.09.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Sergej Johann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RFID-based sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Smart sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Embedded sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Legged robots</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quadruped robots</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
    <collection role="themenfelder" number="">Verkehrsinfrastrukturen</collection>
  </doc>
  <doc>
    <id>59094</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Measuring Dynamic Behavior and Damage Evolution of a Reinforced Concrete Wall Subjected to Explosive Blasts using Embedded Distributed Fiber Optic Sensors</title>
    <abstract language="eng">Results from highly dynamic and static strain measurements, respectively, using embedded distributed fiber optic sensors in a steel-reinforced concrete wall under explosive blast-loading are presented, detailing the structure’s dynamic behavior and the evolutions of cracks.</abstract>
    <enrichment key="eventName">28th International Conference on Optical Fiber Sensors (OFS-28)</enrichment>
    <enrichment key="eventPlace">Hamamatsu, Japan</enrichment>
    <enrichment key="eventStart">20.11.2023</enrichment>
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    <author>Konstantin Hicke</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distributed acoustic sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>DAS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural response</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Blast experiment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Embedded fiber optic sensor</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">2 Prozess- und Anlagensicherheit</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.4 Baustofftechnologie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Security</collection>
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    <collection role="institutes" number="">2.5 Konformitätsbewertung Explosivstoffe/Pyrotechnik</collection>
    <collection role="institutes" number="">2.4 Prüfung und Bewertung von Explosivstoffen/Pyrotechnik</collection>
  </doc>
  <doc>
    <id>59396</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <type>poster</type>
    <publisherName/>
    <publisherPlace/>
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    <contributingCorporation/>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Machine learning for strain, temperature and humidity discrimination in Brillouin optical frequency domain analysis</title>
    <abstract language="eng">We propose to our knowledge for the first time an ensemble of probabilistic machine learning models for strain, temperature and humidity discrimination in Brillouin optical frequency domain analysis (BOFDA) applying a two-fiber configuration.</abstract>
    <enrichment key="eventName">28th International Conference on Optical Fiber Sensors</enrichment>
    <enrichment key="eventPlace">Hamamatsu, Japan</enrichment>
    <enrichment key="eventStart">20.11.2023</enrichment>
    <enrichment key="eventEnd">24.11.2023</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Christos Karapanagiotis</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiparameter sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fiber optic sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.6 Faseroptische Sensorik</collection>
    <collection role="themenfelder" number="">Energie</collection>
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    <collection role="themenfelder" number="">Umwelt</collection>
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    <collection role="themenfelder" number="">Wasserstoff</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>57192</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
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    <contributingCorporation/>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Ways to unlock the potential of NDT for the reliability assessment of existing structures</title>
    <abstract language="deu">Vortrag über die Berechnung von Messunsicherheiten und die POD-Analyse zur Aufbereitung von ZfP-Ergebnissen für die Zuverlässigkeitsbewertung bestehender Bauwerke.</abstract>
    <enrichment key="eventName">8th International Workshop on Reliability of NDT/NDE @ SPIE Smart Structures + NDE</enrichment>
    <enrichment key="eventPlace">Los Angeles, CA, USA</enrichment>
    <enrichment key="eventStart">12.03.2023</enrichment>
    <enrichment key="eventEnd">16.03.2023</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="InvitedTalks">0</enrichment>
    <author>Stefan Küttenbaum</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Probability of Detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement uncertainty</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reliability assessment</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
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    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
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  </doc>
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    <id>57232</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>researchdata</type>
    <publisherName>Harvard College</publisherName>
    <publisherPlace>Cambridge, MA, USA</publisherPlace>
    <creatingCorporation>Bundesanstalt für Materialforschung und -prüfung (BAM)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Low-frequency ultrasound data (pulse-echo technique) with shear horizontal and longitudinal waves on the step-shaped concrete specimen “Pk266” with tendons</title>
    <abstract language="eng">This dataset contains raw data acquired in ultrasound measurements on a reference specimen made of concrete at Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin (Germany). The internal specimen identifier is “Pk266”. The measurements were conducted using the pulse-echo method. The upper surface of the specimen was defined as measuring area. The aim of the measurements is to determine both the geometrical dimensions (thickness) and the position of tendons to the measuring area. In addition to this, a second dataset of a second specimen with identifier is existing named “Pk050” has been acquired. Pk050 has the same geometrical dimensions and concrete recipe as Pk266 recipe but does not contain tendons [Reference: https://doi.org/10.7910/DVN/9EID5D].</abstract>
    <parentTitle language="deu">Harvard Dataverse Repository</parentTitle>
    <identifier type="doi">10.7910/DVN/NUU0WZ</identifier>
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    <enrichment key="ScientificDateCreatedStart">2022</enrichment>
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    <licence>Creative Commons - CC0 1.0 - Universell - Public Domain Dedication</licence>
    <author>Stefan Maack</author>
    <author>Stefan Küttenbaum</author>
    <author>Benjamin Bühling</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultrasound</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pulse echo method</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Synthetic Aperture Focusing Technique</value>
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      <language>eng</language>
      <type>uncontrolled</type>
      <value>Validation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Elastic wave</value>
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    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="unnumberedseries" number="">Forschungsdatensätze der BAM</collection>
  </doc>
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