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    <title language="deu">Bestandteile Digitaler Zwillinge im Erhaltungsmanagement von Verkehrsbrücken</title>
    <title language="eng">Components of digital twins in the operation and maintenance management of traffic bridges</title>
    <abstract language="deu">Digitale Zwillinge werden zukünftig ein integraler Bestandteil des Erhaltungsmanagements von Verkehrsbrücken sein. In diesem Beitrag wird argumentiert, dass sie nicht nur als digitale Abbilder physikalischer Bauwerke verstanden werden sollten, sondern als eine umfassende digitale Methode, die durch die Integration von Datenerfassung, Erhaltungsmaßnahmen, Datenmanagement, Bauwerksbewertung und Entscheidungsunterstützung die Bauwerksüberwachung und ‐erhaltung verbessert. In diesem Zusammenhang wird betont, dass der Übergang von der reaktiven zur prädiktiven Erhaltung durch den Einsatz von Digitalen Zwillingen nur dann realisierbar ist, wenn neben den erforderlichen diagnostischen und prognostischen Zustandsanalysen auch Methoden zur Optimierung von Entscheidungen über Datenerfassung und Erhaltungsmaßnahmen implementiert werden. Zur Veranschaulichung der Diskussion werden in diesem Beitrag exemplarisch zwei Bestandteile eines Digitalen Zwillings für das Erhaltungsmanagement von Verkehrsbrücken am Beispiel einer Eisenbahnbrücke demonstriert. Dabei wird zum einen gezeigt, wie Monitoringdaten mittels eines Datenmanagementsystems strukturiert verwaltet und für angeknüpfte Analysen bereitgestellt werden. Zum anderen erfolgt im Rahmen einer bauwerksspezifischen Einwirkungsermittlung eine Zugidentifikation anhand von gemessenen Schwellenschwingungen.</abstract>
    <abstract language="eng">Digital twins will become an integral part of the operation and maintenance management of traffic bridges in the future. This paper argues that they should not only be understood as digital representations of physical structures but as a digital methodology that enhances the operation and maintenance of bridges through the integration of data collection, maintenance actions, data management, structural assessment, and decision support. In this context, it is emphasized that the transition from reactive to predictive maintenance using digital twins can only be achieved if, in addition to the necessary diagnostic and prognostic condition analyses, methods for optimizing decisions on data collection and maintenance actions are also implemented. To illustrate this discussion, two key components of a digital twin for the operation and maintenance management of traffic bridges are demonstrated using a railway bridge as an example. First, it is shown how monitoring data can be systematically managed and made available for subsequent analyses through a data management system. Second, train identification based on measured sleeper vibrations is conducted as part of an object-specific load assessment.</abstract>
    <parentTitle language="deu">Bautechnik</parentTitle>
    <identifier type="doi">10.1002/bate.202400101</identifier>
    <identifier type="issn">1437-0999</identifier>
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    <author>Ronald Schneider</author>
    <author>Patrick Simon</author>
    <author>Ralf Herrmann</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Digitale Zwillinge</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Erhaltung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Inspektion</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Monitoring</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Brücken</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="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="">Verkehrsinfrastrukturen</collection>
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    <language>eng</language>
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    <pageLast>9</pageLast>
    <pageNumber/>
    <edition/>
    <issue>18</issue>
    <volume>2647</volume>
    <type>article</type>
    <publisherName>IOP Publishing</publisherName>
    <publisherPlace>Bristol</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Vibration-based system identification of a large steel box girder bridge</title>
    <abstract language="eng">The Bundesanstalt für Materialforschung und -prüfung (BAM) collaborates with TNO to develop a software framework for automated calibration of structural models based on monitoring data. The ultimate goal is to include such models in the asset management process of engineering structures. As a basis for developing the framework, a multi-span road bridge consisting of ten simply supported steel box girders was selected as a test case. Our group measured output-only vibration data from one box girder under ambient conditions. From the data, we determined eigenfrequencies and mode shapes. In parallel, we developed a preliminary structural model of the box girder for the purpose of predicting its modal properties. In this contribution, we provide an overview of the measurement campaign, the operational modal analysis, the structural modeling and qualitatively compare the identified with the predicted modes. As an outlook, we discuss the further steps in the calibration process and future applications of the calibrated model.</abstract>
    <parentTitle language="eng">Journal of physics: Conference series</parentTitle>
    <identifier type="doi">10.1088/1742-6596/2647/18/182039</identifier>
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In this contribution, we provide an overview of the measurement campaign, the operational modal analysis, the structural modeling and qualitatively compare the identified with the predicted modes. 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    <enrichment key="eventName">XII International Conference on Structural Dynamics (EURODYN 2023)</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ronald Schneider</author>
    <author>Patrick Simon</author>
    <author>Falk Hille</author>
    <author>Ralf Herrmann</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Verkehrsinfrastukturen</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SHM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Model updating</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>System identification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Operational modal analysis</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
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    <file>https://opus4.kobv.de/opus4-bam/files/60504/Schneider_2024_J._Phys.__Conf._Ser._2647_182039.pdf</file>
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  <doc>
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    <publishedYear>2024</publishedYear>
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    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
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    <edition/>
    <issue>7</issue>
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    <title language="eng">A living lab for Structural Health Monitoring at the Nibelungen Bridge Worms for Transfer Learning of Structural Dynamics</title>
    <abstract language="eng">The Nibelungen Bridge in Worms, Germany has been selected as a national demonstration structure for advanced non-destructive testing (NDT) and structural health monitoring concepts to extend the lifetime of civil structures and to optimize O&amp;M actions. Parts of the research that involves this bridge as a demonstrator belong to the focus area program SPP100+. In this program, the bridges SHM System has been extended and combined with an additional setup of vibration sensors. The used digital smart sensor with pre-processing functions, the arrangement of the sensors at the structure and additional edge computing capability allows the investigation of transfer learning and other methods directly into the real structure. The living lab with seven triaxial accelerometers can be reconfigured in real-time and adjusted to the needs of AI models for classification. The comparison with the existing conventional SHM sensors has been made possible by hardware synchronization to the existing SHM System and collocating sensors at similar positions, so that a hardware exchange can be an investigated use-case for the transfer learning. During idle times, the system collects vibration data like a conventional SHM system.</abstract>
    <parentTitle language="eng">e-Journal of Nondestructive Testing</parentTitle>
    <identifier type="url">https://www.ndt.net/search/docs.php3?id=29853</identifier>
    <identifier type="issn">1435-4934</identifier>
    <identifier type="doi">10.58286/29853</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-612810</identifier>
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    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T02:15:26Z","timestamp":1723083326992},"reference-count":0,"publisher":"NDT.net GmbH &amp; Co. KG","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["eJNDT"],"abstract":"&lt;jats:p&gt;\nThe Nibelungen Bridge in Worms, Germany has been selected as a national demonstration structure for advanced non-destructive testing (NDT) and structural health monitoring concepts to extend the lifetime of civil structures and to optimize O&amp;amp;M actions. Parts of the research that involves this bridge as a demonstrator belong to the focus area program SPP100+. In this program, the bridges SHM System has been extended and combined with an additional setup of vibration sensors. The used digital smart sensor with pre-processing functions, the arrangement of the sensors at the structure and additional edge computing capability allows the investigation of transfer learning and other methods directly into the real structure. The living lab with seven triaxial accelerometers can be reconfigured in real-time and adjusted to the needs of AI models for classification. The comparison with the existing conventional SHM sensors has been made possible by hardware synchronization to the existing SHM System and collocating sensors at similar positions, so that a hardware exchange can be an investigated use-case for the transfer learning. During idle times, the system collects vibration data like a conventional SHM system.\n\nKeywords: Structural Health Monitoring (SHM), Data acquisition, Sensor technology. \n\n\n&lt;\/jats:p&gt;","DOI":"10.58286\/29853","type":"journal-article","created":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:09:53Z","timestamp":1719673793000},"source":"Crossref","is-referenced-by-count":0,"title":["A living lab for Structural Health Monitoring at the Nibelungen Bridge Worms for Transfer Learning of Structural Dynamics"],"prefix":"10.58286","volume":"29","author":[{"name":"BAM Federal Institute for Materials Research and Testing","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6941-9983","authenticated-orcid":false,"given":"Ralf","family":"Herrmann","sequence":"first","affiliation":[]},{"name":"BAM Federal Institute for Materials Research and Testing","sequence":"additional","affiliation":[]},{"given":"Eshwar Kumar","family":"Ramasetti","sequence":"additional","affiliation":[]},{"name":"BAM Federal Institute for Materials Research and Testing","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Degener","sequence":"additional","affiliation":[]},{"name":"BAM Federal Institute for Materials Research and Testing","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2697-5370","authenticated-orcid":false,"given":"Falk","family":"Hille","sequence":"additional","affiliation":[]},{"name":"BAM Federal Institute for Materials Research and Testing","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Bae\u00dfler","sequence":"additional","affiliation":[]}],"member":"37050","published-online":{"date-parts":[[2024,7]]},"container-title":["e-Journal of Nondestructive Testing"],"original-title":[],"deposited":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:17:35Z","timestamp":1719674255000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ndt.net\/search\/docs.php3?id=29853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":0,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,7]]}},"URL":"http:\/\/dx.doi.org\/10.58286\/29853","relation":{},"ISSN":["1435-4934"],"issn-type":[{"type":"electronic","value":"1435-4934"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}</enrichment>
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    <enrichment key="eventName">10th European Workshop on Structural Health Monitoring (EWSHM 2024)</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ralf Herrmann</author>
    <author>Eshwar Kumar Ramasetti</author>
    <author>Sebastian Degener</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nibelungen Bridge</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Living Lab</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transfer Learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transfer Structures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Modal Analysis</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
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    <file>https://opus4.kobv.de/opus4-bam/files/61281/80_manuscript.pdf</file>
  </doc>
  <doc>
    <id>55472</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>265</pageFirst>
    <pageLast>284</pageLast>
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    <edition/>
    <issue/>
    <volume>2379</volume>
    <type>conferenceobject</type>
    <publisherName>VDI-Verlag</publisherName>
    <publisherPlace>Düsseldorf</publisherPlace>
    <creatingCorporation>VDI Wissensforum</creatingCorporation>
    <contributingCorporation/>
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    <title language="deu">Dynamisches Verhalten und Überwachung des Großen Fallturms der BAM in Horstwalde</title>
    <abstract language="deu">Falltürme sind Bauwerke, die als Versuchsanlagen sehr speziellen, impulsartigen Belastungen ausgesetzt sind. Am Fallturm auf dem Testgelände Technische Sicherheit (TTS) der BAM wurde bei Routineinspektionen eine Abnahme der strukturellen Integrität in Form von Vorspannungsverlusten in den Bolzen der Stahlverbindungen festgestellt. Um ein Verständnis für die zugrundeliegenden Trag- und Schädigungsmechanismen zu erlangen, wurde ein umfassendes Structural Health Monitoring (SHM) System geplant und am Bauwerk installiert unter Nutzung von digitalen Bauwerksmodellen. Für die Auslegung des Überwachungssystems, insbesondere aber zur Unterstützung der Untersuchung des Schädigungsprozesses, wurden Finite-Elemente-Modelle erstellt. Um sicherzustellen, dass die FE-Modelle das reale Tragwerksverhalten mit ausreichender Genauigkeit abbilden, mussten sie jedoch in Bezug auf die gemessenen Antworten des Tragwerks kalibriert werden. Der vorliegende Beitrag beschreibt experimentelle und numerische Untersuchungen zur Identifizierung des strukturellen Systems des Stahlrohrgitterturms in Vorbereitung einer Überwachungskampagne. Die Auswertung von gemessenen Schwingungen unter ambienter Anregung ermöglichte die Identifizierung der Eigenfrequenzen mehrerer globaler Schwingungsmoden des Fallturms. Zur Modellvalidierung wurde zunächst eine Sensitivitätsanalyse durchgeführt, um die Parameter mit dem größten Einfluss zu ermitteln. Anschließend wurde ein evolutionärer Algorithmus (EA) zur Optimierung nach dem Prinzip der Minimierung der Differenzen zwischen gemessenen und simulierten charakteristischen Antworten eingesetzt. Das aktualisierte Modell wurde schließlich an der dynamischen Reaktion der Turmstruktur infolge einer realen Falltest-induzierten Stoßbelastung validiert. Die Ergebnisse zeigten eine gute Übereinstimmung zwischen numerischen und experimentellen Ergebnissen.</abstract>
    <abstract language="eng">Drop test towers are structures subjected to very specific dynamic loadings. At the drop test tower at the Test Site Technical Safety (TTS) of BAM routine inspections revealed a decline of structural integrity in form of loss of pretension in bolts of structural steel connections. To get an understanding about the underlying damage mechanisms as well as to assure the structural safety in operation, a multifaceted Structural Health Monitoring (SHM) system was planned and installed at the structure with the help of digital models. For planning the monitoring system but especially for supporting the investigation of the damaging process finite element models are deployed. Though, to ensure the capability of the FE model to reproduce the real structural behavior in sufficient accuracy, it needs to be calibrated in respect to measured responses of the structure. The present contribution describes experimental and numerical investigations to identify the structural system of the steel tube lattice tower in preparation of the monitoring campaign. An ambient vibration test allowed the identification of the natural frequencies of several global vibrational modes of the drop test tower. For model updating first a sensitivity analysis is applied to identify the most influencing parameter. In succession a genetic algorithm was applied for optimization in the sense of minimization of the difference between measured and simulated characteristic responses. The updated model is finally validated on the dynamic response of the tower structure to a real drop test induced impact loading. The results showed a good agreement between numerical and experimental results though the robustness of the simulation should be improved by more sophisticated numerical modelling.</abstract>
    <parentTitle language="deu">7. VDI-Fachtagung Baudynamik</parentTitle>
    <identifier type="issn">0083-5560</identifier>
    <identifier type="isbn">978-3-18-092379-6</identifier>
    <identifier type="isbn">978-3-18-102379-2</identifier>
    <identifier type="doi">10.51202/9783181023792-265</identifier>
    <enrichment key="eventName">7. VDI-Fachtagung Baudynamik</enrichment>
    <enrichment key="eventPlace">Würzburg, Germany</enrichment>
    <enrichment key="eventStart">27.04.2022</enrichment>
    <enrichment key="eventEnd">28.04.2022</enrichment>
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    <author>Matthias Baeßler</author>
    <author>Ralf Herrmann</author>
    <author>Falk Hille</author>
    <author>Frank Wille</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Großer Fallturm Horstwalde</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Structural Health Monitoring</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Belastungsversuch</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Modalanalyse</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Schwingungsdynamik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Finite Elemente Simulation</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">3 Gefahrgutumschließungen; Energiespeicher</collection>
    <collection role="institutes" number="">3.3 Sicherheit von Transportbehältern</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
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    <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="">Kerntechnische Entsorgung</collection>
  </doc>
  <doc>
    <id>51592</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1293</pageFirst>
    <pageLast>1304</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>1</volume>
    <type>conferenceobject</type>
    <publisherName>Institute of Structural Analysis and Antiseismic Research</publisherName>
    <publisherPlace>Athen</publisherPlace>
    <creatingCorporation>National Technical University of Athens (NTUA)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Implementing a Structural Health Monitoring system using digital models of the BAM large drop test facility in Horstwalde</title>
    <abstract language="eng">At the Bundesanstalt für Materialforschung und -prüfung (BAM) full scale specimens for nuclear transport and storage containers (casks) are tested for their structural integrity in a series of drop tests on the Test Site Technical Safety in Horstwalde, 50 km south of Berlin. These drop tests cause a major stress not only on the casks, but also on the steel tower structure of the test facility, itself. The load pattern makes the structure very interesting for detailed investigation. The focus of the monitoring lies on the bolted joints of the flange connections that are a typical connection for cylindrical elements if welding is technical or economical unfavorable. The definition of the monitoring takes was done by investigating the existing documents and inspection results accompanied by building an initial digital representation of the structure, consisting of two finite element (FE) models and a geometrical 3D point cloud representation. As a first step the structures behavior during static and dynamic loading was analyzed using measurement data and an updated numerical FE Model. The idea behind is to use models for a digital planning and operation/evaluation of the structural health monitoring. A static FE simulation and a dynamic FE simulation are generated, to investigate how the structure behaves under the load conditions.</abstract>
    <parentTitle language="eng">Proceedings of the XI International Conference on Structural Dynamics (EuroDyn 2020)</parentTitle>
    <identifier type="isbn">978-618-85072-0-3</identifier>
    <identifier type="url">https://generalconferencefiles.s3-eu-west-1.amazonaws.com/eurodyn_2020_ebook_procedings_vol1.pdf</identifier>
    <enrichment key="eventName">XI International Conference on Structural Dynamics (EuroDyn 2020)</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">23.11.2020</enrichment>
    <enrichment key="eventEnd">26.11.2020</enrichment>
    <author>Ralf Herrmann</author>
    <author>Falk Hille</author>
    <author>Samir Said</author>
    <author>Jens Sterthaus</author>
    <author>Karsten Müller</author>
    <author>Thomas Quercetti</author>
    <author>Frank Wille</author>
    <author>J.-A. Paffenholz</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural Health Monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Drop Tests</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>System Identification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digital Models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BIM</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">3 Gefahrgutumschließungen; Energiespeicher</collection>
    <collection role="institutes" number="">3.3 Sicherheit von Transportbehältern</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</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>
  </doc>
  <doc>
    <id>46059</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1557</pageFirst>
    <pageLast>1564</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>CRC Press</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A study on diverse strategies for discriminating environmental from damage based variations in monitoring data</title>
    <abstract language="eng">Right from the beginning of applying SHM to bridge structures it was obvious that environmental based perturbations on the measurement significantly influence the ability to identify structural damage.&#13;
Strategies are needed to classify such effects and consider them appropriately in SHM. Various methods have been developed and analyzed to separate environmental based effects from damage induced changes in the measures. Generally, two main approaches have emerged from research activity in this fields: (a) statistics based tools analyzing patterns in the data or in computed parameters and (b) methods, utilizing the structural model of the bridge taking into account environmental as well as damage based changes of stiffness values.&#13;
With the back-ground of increasing affordability of sensing and computing technology, effort should be made to increase sensitivity, reliability and robustness of procedures, separating environmental from damage caused changes in SHM measures. The contribution describes both general strategies and points out their Advantages and drawbacks. As basis, a review on relevant methods was conducted. The aim of the study is to classify approaches for separating damage describing information from environmental based perturbations in dependency of the SHM objective. And such, it is intended to describe a best practice in designing concepts for Monitoring infrastructure, naturally effected by environmental influences.</abstract>
    <parentTitle language="eng">Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges</parentTitle>
    <identifier type="isbn">978-1-138-73045-8</identifier>
    <enrichment key="eventName">IABMAS</enrichment>
    <enrichment key="eventPlace">Melbourne, Australia</enrichment>
    <enrichment key="eventStart">09.07.2018</enrichment>
    <enrichment key="eventEnd">13.07.2018</enrichment>
    <enrichment key="date_peer_review">05.12.2019</enrichment>
    <author>Matthias Baeßler</author>
    <author>Falk Hille</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SHM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Environmental changes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>temperature</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>55493</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1061</pageFirst>
    <pageLast>1068</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>CRC Press</publisherName>
    <publisherPlace>Boca Raton</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Research Data Management of Structural Health Monitoring Projects and Subsequent Applications of Artificial Intelligence Methods</title>
    <abstract language="eng">Structural health monitoring (SHM) intends to improve the management of engineering structures. The number of successful SHM projects – especially SHM research projects – is ever growing, yielding added value and more scientific insight into the management of infrastructure asset. With the advent of the data age, the value of accessible data becomes increasingly evident. In SHM, many new data-centric methods are currently being developed at a high pace. A consequent application of research data management (RDM) concepts in SHM projects enables a systematic management of raw and processed data, and thus facilitates the development and application of artificial intelligence (AI) and machine learning (ML) methods to the SHM data. In this contribution, a case study based on an institutional RDM framework is presented. Data and metadata from monitoring the structural health of the Maintalbrücke Gemünden for a period of 16 months are managed with the RDM system BAM Data Store, which makes use of the openBIS data management software. An ML procedure is used to classify the data. Feature engineering, feature training and resulting data are performed and modelled in the RDM system.</abstract>
    <parentTitle language="eng">Bridge safety, maintenance, management, life-cycle, resilience and sustainability - Proceedings of the eleventh International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022), Barcelona, Spain, July 11-15, 2022</parentTitle>
    <identifier type="isbn">978-1-032-35623-5</identifier>
    <identifier type="isbn">978-1-003-32264-1</identifier>
    <identifier type="doi">10.1201/9781003322641-127</identifier>
    <enrichment key="eventName">11th International Conference on Bridge Maintenance, Safety and Management (IABMAS2022)</enrichment>
    <enrichment key="eventPlace">Barcelona, Spain</enrichment>
    <enrichment key="eventStart">11.07.2022</enrichment>
    <enrichment key="eventEnd">15.07.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="RelatedIdentifier">https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/55494</enrichment>
    <author>Patrick Simon</author>
    <author>Ralf Herrmann</author>
    <author>Ronald Schneider</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <author>Rukeia El-Athman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Research data management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial intelligence</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="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="institutes" number="">VP Vizepräsident</collection>
    <collection role="institutes" number="">VP.1 eScience</collection>
  </doc>
  <doc>
    <id>55656</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>111</pageFirst>
    <pageLast>117</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Research Publishing</publisherName>
    <publisherPlace>Singapore</publisherPlace>
    <creatingCorporation>ISRERM Organizers</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">A framework for data and structural integrity management for support structures in offshore wind farms based on building information modelling</title>
    <abstract language="eng">Support structures of wind turbines in German offshore wind farms are regularly inspected. Currently, inspection outcomes are generally not systematically recorded. This prevents their consistent handling and processing, which is a key requirement to enable an efficient structural integrity management. As part of the DiMoWind-Inspect project, a data model and reference designation system for such inspection results is developed to facilitate their identification, localization, quantification, tracing and linking throughout the lifetime of a wind farm and beyond. The inspection results together with structural health monitoring results and information on repairs form the basis for assessing and predicting the structural condition, estimating the remaining lifetime, and planning of future inspections, structural health monitoring, and repairs. As a basis for developing a digital structural integrity management, a generic framework is proposed in this paper, which describes the stakeholders, data, models, processes and workflows of the integrity management of support structures in offshore wind farms and their interrelations. The framework adopts a building information modelling approach to describe the information relevant to the structural integrity management. The central digital space of the framework is a common data environment. An implementation of the framework will enable a digital structural integrity management in which inspection, structural health monitoring, repair, assessment and planning outcomes generated throughout the life cycle of a wind farm can be consistently collected, managed, shared and processed by the relevant shareholders.</abstract>
    <parentTitle language="deu">Proc. of the 8th Intl. Symp. on Reliability Engineering and Risk Management (ISRERM 2022)</parentTitle>
    <identifier type="doi">10.3850/978-981-18-5184-1_MS-04-161-cd</identifier>
    <enrichment key="eventName">8th International Symposium on Reliability Engineering and Risk Management</enrichment>
    <enrichment key="eventPlace">Hannover, Germany</enrichment>
    <enrichment key="eventStart">04.09.2022</enrichment>
    <enrichment key="eventEnd">07.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Lukas Eichner</author>
    <author>Paul Gerards</author>
    <author>Ralf Herrmann</author>
    <author>Ronald Schneider</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Offshore wind energy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>support structures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>building information modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>structural integrity management</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>39354</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>89</pageFirst>
    <pageLast>102</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>2016</volume>
    <type>conferenceobject</type>
    <publisherName>Eigenverlag BAM</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Bauwerksüberwachung von Brücken im Kontext saisonaler Einflüsse</title>
    <abstract language="deu">Anhand verschiedener Bespiele wird diskutiert, wie Temperaturbeanspruchungen in einer Bauwerksüberwachung sichtbar werden und wie sie zu bewerten sind. Insbesondere der Einfluss auf die Zustandsbewertung im Sinne der Standsicherheit stellt häufig eine große Schwierigkeit dar. Behelfsweise besteht eine grundlegende Möglichkeit darin, ein Tragwerk immer zu seiner schwächsten Phase, d.h. in der Regel im Sommer zu beurteilen. Wie aufgezeigt, können zudem statistische Verfahren geeignet sein, Tragfähigkeitsänderungen zu detektieren.&#13;
&#13;
Als wesentliche Zukunftsaufgaben werden verbesserte Detektionsalgorithmen und physikalisch begründete Modelle zum mechanischen Verhalten angesehen.&#13;
Die Akzeptanz schwingungsbasierter Verfahren zur Detektion und Lokalisierung von Schäden in der praktischen Anwendung ist alleinig von der Fähigkeit abhängig, Einflüsse aus veränderlichen Umwelt- und Betriebsbedingungen, insbesondere aber die aus der Temperatur zu eliminieren. Da die in den letzten Jahren immer wichtiger werdenden stochastischen Verfahren zur Schadensde-tektion und -lokalisierung die (statistische) Charakteristik der Messdaten bereits implizit nutzen, sind hier Entwicklung, Anpassung und Anwendung statistischer Algorithmen zur Eliminierung der variierenden Umwelteinflüsse naheliegend.&#13;
&#13;
Auf der anderen Seite wird der saisonale Einfluss auf Bauwerksmessungen in sehr vielen Veröf-fentlichungen dargestellt und es werden häufig verdachtsweise begründete physikalische Zu-sammenhänge für das Verhalten aufgezeigt. Im Regelfall sind die Aussagen aber nicht experi-mentell überprüft und von eher allgemeiner Natur („Asphalt reagiert temperaturabhängig“). Ob-jektspezifische Zusammenhänge, beispielsweise über Versuch an Repräsentanten in der Klima-kammer ermittelt, könnten jedoch sehr hilfreich sein.</abstract>
    <parentTitle language="deu">Tagungsband "Messen im Bauwesen 2016"</parentTitle>
    <identifier type="isbn">978-3-9817853-6-4</identifier>
    <enrichment key="eventName">Messen Im Bauwesen</enrichment>
    <enrichment key="eventPlace">BAM, Berlin, Germany</enrichment>
    <enrichment key="eventStart">08.11.2016</enrichment>
    <author>Matthias Baeßler</author>
    <author>Falk Hille</author>
    <author>Samir Said</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bauwerksüberwachung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>SHM</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Temperatureinfluss</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>52810</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>66</pageFirst>
    <pageLast>76</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>55</volume>
    <type>conferenceobject</type>
    <publisherName>Technische Universität Dresden</publisherName>
    <publisherPlace>Dresden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Structural Health Monitoring der Maintalbrücke Gemünden zur Unterstützung einer prädiktiven Instandhaltung</title>
    <abstract language="deu">Nach den bisherigen Regeln werden Bauwerksprüfungen von Brücken in starr definierten Intervallen durchgeführt. Diese starre, periodische, zustandsbasierte Instandhaltungsstrategie soll zukünftig durch eine flexible und prädiktive Instandhaltung ersetzt werden. Hierbei sollen Inspektionen und Instandhaltungsmaßnahmen unterstützt durch autonome Systeme auf der Grundlage von Monitoringdaten geplant und zusätzlich bei unvorhergesehenen Ereignissen ausgelöst werden. Im Rahmen des Verbundforschungsvorhabens AISTEC wird ein Vorgehen für Großbauwerke und kleinere Regelbauwerke zur Umsetzung eines kombinierten globalen, schwingungsbasierten und quasistatischen Monitorings entworfen. An der Maintalbrücke Gemünden – einer semiintegralen Rahmenbrücke aus Spannbeton auf der Schnellfahrstrecke Hannover–Würzburg – wurde als Demonstrator ein Dauermonitoring realisiert.</abstract>
    <parentTitle language="deu">Schriftenreihe Konstruktiver Ingenieurbau Dresden</parentTitle>
    <identifier type="url">https://tu-dresden.de/bu/bauingenieurwesen/imb/ressourcen/dateien/veranstaltungen/seub/11-seub-2021/2021_SEUB11_06_Herrmann_et_al.pdf?lang=de</identifier>
    <enrichment key="eventName">11. Symposium Experimentelle Untersuchungen von Baukonstruktionen (SEUB)</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">08.03.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Ralf Herrmann</author>
    <author>Ronald Schneider</author>
    <author>Patrick Simon</author>
    <author>Falk Hille</author>
    <author>Samir Said</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural Health Monitoring</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Umwelteinflüsse</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Prädiktive Instandhaltung</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="themenfelder" number="">Infrastruktur</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>60765</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>558</pageFirst>
    <pageLast>567</pageLast>
    <pageNumber/>
    <edition/>
    <issue>10</issue>
    <volume>101</volume>
    <type>article</type>
    <publisherName>Ernst &amp; Sohn</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Digitales Datenmanagement für die Instandhaltung von Offshore-Windparks</title>
    <title language="eng">Digital data management for maintenance in offshore wind farms</title>
    <abstract language="deu">Im Forschungsprojekt DiMoWind-Inspect wurde untersucht, welche Grundvoraussetzungen geschaffen werden müssen, um digitale Methoden für die Instandhaltung von Offshore-Windenergieanlagen einsetzen zu können. Daten aus allen Lebensphasen der Anlagen werden derzeit nur selten effizient dafür genutzt, um die sinnvollsten Instandhaltungsmaßnahmen am richtigen Ort, zum richtigen Zeitpunkt und mit den geringsten Kosten durchzuführen. Eine im Vorhaben entwickelte einheitliche Strukturierung der bisher häufig unstrukturierten Bau- und Instandhaltungsdaten ermöglicht ihre übergreifende, anwenderspezifische Verfügbarkeit. Hierfür werden Prinzipien des Referenzkennzeichnungssystems RDS-PP adaptiert. Es wird aufgezeigt, wie neben Bauteilen auch zusätzliche Informationen wie Instandhaltungsmaßnahmen oder Mängel strukturiert werden können. Dem Ansatz des Building Information Modeling folgend werden die Bauwerkskomponenten direkt mit den Informationen aus Inspektionen und weiteren Instandhaltungsmaßnahmen verknüpft. So können Informationen aus dem Betrieb über den Zustand der Struktur verarbeitet und für die maßgebenden Berechnungen und Nachweise zur Verfügung gestellt werden. Als Anwendungsfall wird ein zweistufiges Konzept vorgestellt, das zur Bewertung der Ermüdungslebensdauer eines korrosionsgeschädigten Konstruktionsdetails der Gründungsstruktur einer Offshore-Windenergieanlage mit Informationen aus der Instandhaltung eingesetzt wird.</abstract>
    <abstract language="eng">The DiMoWind-Inspect research project explored the essential requirements for implementing digital methods in the maintenance of offshore wind turbines. Currently, data from all stages of the turbines' lifecycles are underutilized, leading to suboptimal maintenance actions being taken in terms of location, timing, and cost. A consistent structuring of previously often unstructured construction and maintenance data developed in the project enables their cross-disciplinary, user-specific availability. To accomplish this, the principles of the Reference Designation System for Power Plants RDS-PP are applied. In this way, additional information, such as maintenance measures or defects, can be structured alongside components. The components of the structures are directly linked with information from inspections and other maintenance activities, following the Building Information Modeling approach. This allows for processing operational information about the condition of the structure and providing it for relevant calculations and assessments. As a use case, a two-stage concept is presented, utilizing maintenance information to assess the fatigue life of a corrosion-damaged structural detail in the support structure of an offshore wind turbine.</abstract>
    <parentTitle language="deu">Bautechnik</parentTitle>
    <identifier type="doi">10.1002/bate.202400026</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">23.05.2025</enrichment>
    <author>Lukas Eichner</author>
    <author>Paul Gerards-Wünsche</author>
    <author>Karina Happel</author>
    <author>Sigurd Weise</author>
    <author>Gerrit Haake</author>
    <author>Lars Sieber</author>
    <author>Holger Flederer</author>
    <author>Ronald Schneider</author>
    <author>Ralf Herrmann</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <author>Holger Huhn</author>
    <author>Andreas Küchler</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Building Information Modeling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Datenmanagement</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Instandhaltung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Offshore-Windenergie</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Referenzkennzeichnungssystem</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="themenfelder" number="">Windenergie</collection>
  </doc>
  <doc>
    <id>57244</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>15</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A framework for assessing the reliability of crack luminescence – an automated fatigue crack detection system</title>
    <abstract language="eng">The new crack luminescence method offers the possibility of making fatigue surface cracks in metallic materials more visible during inspections through a special coating system. This coating system consists of two layers, whereby the first layer has fluorescent properties and emits visible light as soon as it is irradiated by UV light. The top layer is black and is designed to prevent the fluorescent layer from emitting if no crack develops in the underlying material. The technique proved particularly useful in a wide variety of fatigue tests of steel components under laboratory conditions. Moreover, it has the potential to be used in various industrial applications. To enable industrial deployment and integration into maintenance strategies, a concept study is developed in this contribution, resulting in a qualification framework that can serve as a foundation for determining the reliability of the crack luminescence system in terms of a probability of detection curve. Within this study, factors causing measurement variability and uncertainty are being determined and their influences assessed. Due to the extension of the system by a moving computer vision system for automated crack detection using artificial intelligence, additional long-term effects associated with structural health monitoring systems need to be incorporated into an extended probability of detection study as part of the technical justification. Finally, important aspects and findings related to design of experiments are discussed, and a framework for reliability assessment of a new optical crack monitoring method is presented, emphasizing the influence of various uncertainty parameters, including long-term effects such as system ageing.</abstract>
    <parentTitle language="eng">SPIE Conference Smart Structures + Nondestructive Evaluation 2023</parentTitle>
    <identifier type="doi">10.1117/12.2658390</identifier>
    <identifier type="isbn">978-1-5106-6086-1</identifier>
    <enrichment key="eventName">SPIE Conference Smart Structures + Nondestructive Evaluation 2023</enrichment>
    <enrichment key="eventPlace">Long Beach, CA, USA</enrichment>
    <enrichment key="eventStart">24.03.2023</enrichment>
    <enrichment key="eventEnd">28.03.2023</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">18.09.2023</enrichment>
    <author>Paul Gerards-Wünsche</author>
    <author>Mirjana Ratkovac</author>
    <author>Ronald Schneider</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural Health Monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Non-Destructive Evaluation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Probability of Detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial Intelligence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer Vision</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Crack Luminescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wind</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
  <doc>
    <id>61054</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">Digitale Modellierungsprozesse in der wiederkehrenden Prüfung von Windenergieanlagen - DiMoWind-Inspect - Abschlusstreffen</title>
    <abstract language="deu">Dieses Dokument enthält die Präsentationsfolien des BAM-Teams beim Abschlusstreffen des Forschungsprojekts DiMoWind-Inspect. Es wurden die Arbeitspakete Datenmanagement, Referenzkennzeichnungssystem, Grundlagen der Schadensbewertung, Risikobasierte Inspektions- und Instandhaltungsplanung und Schadensdetektion mittels Risslumineszenz sowie eine abschließende Bewertung des Projekts vorgestellt.</abstract>
    <enrichment key="eventName">DiMoWind-Inspect - Abschlusstreffen</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">12.09.2024</enrichment>
    <enrichment key="eventEnd">12.09.2024</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>Lukas Eichner</author>
    <author>Marc Thiele</author>
    <author>Falk Hille</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Building Information Modeling (BIM)</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Referenzkennzeichnungssystem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Risslumineszenz (Riluminati)</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Risikobasierte Inspektionsplanung (RBI)</value>
    </subject>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.2 Ingenieurbau</collection>
    <collection role="themenfelder" number="">Energie</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Windenergie</collection>
  </doc>
  <doc>
    <id>64327</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>245</pageFirst>
    <pageLast>251</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Verlag der Technischen Universität Graz</publisherName>
    <publisherPlace>Graz, Austria</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">On potentials and challenges of physics-informed SHM for civil engineering structures</title>
    <abstract language="eng">Physics-informed structural health monitoring, which integrates realistic physical models of material behavior, structural response, damage mechanisms, and aging processes, offers a promising approach to improve monitoring capabilities and inform operation and maintenance planning. However, the associated technical challenges and model requirements are context-specific and vary widely across applications. To illustrate the relevance and potential of the topic, two application examples are presented. The first focuses on monitoring the modal characteristics of a prestressed road bridge, where strong sensitivity to temperature variations limits the diagnostic capabilities of conventional vibration-based global monitoring. The discussion highlights how environmental influences can obscure structural changes, and emphasizes that purely data-based approaches are inherently limited to detecting anomalies and do not enable comprehensive condition diagnostics. The second example explores a physics-informed monitoring approach for prestressed concrete bridges affected by hydrogen-induced stress corrosion cracking.</abstract>
    <parentTitle language="eng">Proceedings of SHMII-13</parentTitle>
    <identifier type="isbn">978-3-99161-057-1</identifier>
    <identifier type="doi">10.3217/978-3-99161-057-1-039</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-643271</identifier>
    <enrichment key="eventName">SHMII-13</enrichment>
    <enrichment key="eventPlace">Graz, Austria</enrichment>
    <enrichment key="eventStart">01.09.2025</enrichment>
    <enrichment key="eventEnd">05.09.2025</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Matthias Baeßler</author>
    <author>Gino Ebell</author>
    <author>Ralf Herrmann</author>
    <author>Falk Hille</author>
    <author>Ronald Schneider</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hydrogen Stress Corrosion Cracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SHM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Physics informed</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="themenfelder" number="">Infrastruktur</collection>
    <collection role="institutes" number="">7.6 Korrosion und Korrosionsschutz</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</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/64327/shmii_13_039.pdf</file>
  </doc>
  <doc>
    <id>64416</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>114</pageFirst>
    <pageLast>121</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>International Group of Operational Modal Analysis</publisherName>
    <publisherPlace>Gijón, Spain</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">System identification and model calibration of a steel road  bridge</title>
    <abstract language="eng">The Bundesanstalt für Materialforschung und -prüfung (BAM), in cooperation with the Netherlands Organization for Applied Scientific Research (TNO), is working on a framework for integrating frequently updated structural models into an asset management process for bridge structures. A multi-span steel road bridge was selected as a test case for the development of this framework. In order for the structural model to represent the real behavior of the bridge with sufficient accuracy, model calibration is required. In this case, we have planned to calibrate the model based on the dynamic response of the bridge. To determine its dynamic properties, a multi-setup operational modal analysis was performed on one of the bridge spans. In parallel, a structural model of the span was developed based on the available design and service life information. Both eigenfrequencies and mode shapes were used as reference parameters to calibrate the model. A sensitivity analysis was performed to identify the most influential design parameters. Subsequently, a genetic algorithm was applied for minimizing the difference between measured and simulated characteristic responses. In the proposed paper, we summarize the measurements as well as the determination of the modal response of the bridge and describe the process of calibration of the structural model using the identified dynamic response.</abstract>
    <parentTitle language="eng">Proceedings of the 11th International Operational Modal Analysis Conference (IOMAC 2025)</parentTitle>
    <identifier type="isbn">978-84-09-75120-4</identifier>
    <enrichment key="eventName">11th International Operational Modal Analysis Conference (IOMAC 2025)</enrichment>
    <enrichment key="eventPlace">Rennes, France</enrichment>
    <enrichment key="eventStart">20.05.2025</enrichment>
    <enrichment key="eventEnd">23.05.2025</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">01.12.2025</enrichment>
    <author>Falk Hille</author>
    <author>Ronald Schneider</author>
    <author>Patrick Simon</author>
    <author>Ralf Herrmann</author>
    <author>Matthias Baeßler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Bridge structure</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Operational modal analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Model calibration</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="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>49167</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>Paper 324, 1</pageFirst>
    <pageLast>Paper 324, 6</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>CRC Press</publisherName>
    <publisherPlace>Boca Raton</publisherPlace>
    <creatingCorporation>Department of Civil Engineering, University of Cape Town</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Impact of environmental based effects on SHM strategies</title>
    <abstract language="eng">Environmental based perturbations influence significantly the ability to identify structural dam-age in Structural Health Monitoring. Strategies are needed to classify such effects and consider them appropri-ately in SHM. It has to be considered if seasonal effects just mask the structural response or if temperature itself correlates to a weakening of the structure. Various methods have been developed and analyzed to separate environmental based effects from damage induced changes in the measures. Generally, two main approaches have emerged from research activity in this fields: (a) statistics-based tools analyzing patterns in the data or in computed parameters and (b) methods, utilizing the structural model of the bridge considering environmental as well as damage-based changes of stiffness values. With the background of increasing affordability of sensing and computing technology, effort should be made to increase sensitivity, reliability and robustness of proce-dures, separating environmental from damage caused changes in SHM measures. The contribution describes an attempt to evaluate both general strategies, their advantages and drawbacks. In addition, two vibration moni-toring procedures are introduced, allowing for temperature-based perturbations of the monitoring data.</abstract>
    <parentTitle language="eng">Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications</parentTitle>
    <identifier type="isbn">978-1-138-38696-9</identifier>
    <identifier type="isbn">978-0-429-42650-6</identifier>
    <identifier type="doi">10.1201/9780429426506</identifier>
    <enrichment key="eventName">SEMC 2019</enrichment>
    <enrichment key="eventPlace">Cape Town, South Africa</enrichment>
    <enrichment key="eventStart">02.09.2019</enrichment>
    <enrichment key="eventEnd">04.09.2019</enrichment>
    <enrichment key="date_peer_review">20.01.2020</enrichment>
    <author>Matthias Baeßler</author>
    <author>Delwar Bhuyan</author>
    <author>Falk Hille</author>
    <author>Eva Viefhues</author>
    <author>M. Döhler</author>
    <author>L. Mevel</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SHM environmental bridges</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
</export-example>
