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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>
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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>
    <collection role="institutes" number="">7 Bauwerkssicherheit</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>
    <id>58341</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>471</pageFirst>
    <pageLast>479</pageLast>
    <pageNumber/>
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    <type>conferenceobject</type>
    <publisherName>Deutsche Gesellschaft für Erdbebeningenieurwesen und Baudynamik (DGEB) e.V.</publisherName>
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    <title language="deu">Schädigung von Stahlbetonplatten infolge eines harten Anpralls - Vergleich von halb-empirischen Methoden und experimentellen Ergebnissen</title>
    <abstract language="deu">Schutzbauwerke von systemkritischen Infrastruktureinrichtungen wie Betonwände und Betonbarrieren müssen Anprallereignissen oder schweren Unfällen in einem vertretbaren Maße widerstehen können. Anprallereignisse können verschiedenster Natur sein. Hierzu zählen Steinschlag, Fahrzeug- oder Flugzeuganprall oder auch Geschosseinschlag. Geschosseinschläge bzw. Bei den Anprall- oder Impaktereignissen wird zwischen hartem und weichem Anprall unterschieden, bei hartem Anprall verformt sich der Anprallkörper nicht oder nur geringfügig, bei weichem Anprall stark.&#13;
In diesem Artikel werden Forschungsergebnisse zum harten Anprall auf bewehrte Stahlbetonplatten vorgestellt, welche über die letzten Jahre im Rahmen eines Kooperationsprojekts zwischen dem Institut für Massivbau (IMB) der Technischen Universität Dresden (TUD) und der Bundesanstalt für Materialforschung und -prüfung (BAM) durchgeführt wurden. Auf dem Gelände des Otto-Mohr-Labors (OML) der TUD steht hierfür ein speziell konzipierter Fallturm zur Verfügung. Der Aufbau im Fallturm lässt aktuell druckluftbeschleunigte Impaktversuche mit mittleren Anprallgeschwindigkeiten zu. Die durch Anprall geschädigten Stahlbetonplatten wurden anschließend bei der BAM mit Strahlung tomographisch untersucht. Diese Untersuchungen ermöglichen einen Blick auf die Schädigung und Rissstruktur im Inneren der Stahlbetonplatten.&#13;
Ein Schwerpunkt der durchgeführten Untersuchung ist der Vergleich von Testergebnissen mit den häufig angewendeten halbempirischen Berechnungsmethoden zu den erforderlichen Wandstärken und den sich daraus ergebenden zulässigen Anprallgeschwindigkeiten. Bei diesem Vorgehen wird auch die mit analytischen Methoden abschätzbare Durchdringungsgeschwindigkeit bzw. Austrittgeschwindigkeit eines Projektils ermittelt und mit den realen Testergebnissen verglichen. Außerdem wird der Einfluss von sowohl externen als auch internen Strukturparametern auf Risse betrachtet und ein Fazit abgeleitet. Weiterhin werden laufende und zukünftige wissenschaftliche Untersuchungen zum Anprall auf Betonstrukturen am IMB und der BAM genannt.</abstract>
    <parentTitle language="deu">18. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik</parentTitle>
    <identifier type="isbn">978-3-930108-15-1</identifier>
    <enrichment key="eventName">18. D-A-CH-Tagung</enrichment>
    <enrichment key="eventPlace">Kiel, Germany</enrichment>
    <enrichment key="eventStart">13.09.2023</enrichment>
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    <author>Georg Fiedler</author>
    <author>Marcus Hering</author>
    <author>T. Schubert</author>
    <author>F. Bracklow</author>
    <author>Deborah Nerger</author>
    <author>Falk Hille</author>
    <author>B. Beckmann</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Impakt</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Harter Anprall an Stahlbetonstrukturen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fallturm</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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    <collection role="literaturgattung" number="">Graue Literatur</collection>
  </doc>
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    <id>51051</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>5</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Luminescence-based early detection of fatigue cracks</title>
    <abstract language="eng">Classic non-destructive fatigue crack detection methods reveal the state of the fatigue damage evolution at the moment of application, generally not under operational conditions. The here introduced crack luminescence method realizes a clear visibility of the occurred and growing crack in loaded components during operation. Different established experiments show that due to the sensitive coating a crack Formation can be detected even in early stage under the premise the crack reached the surface. The coating consists of two layers with different properties and functions. The bottom layer emits light as fluorescence under UV radiation. The top layer covers the fluorescing one and prevents the emitting of light in case of no damage at the surface. In case of surface crack occurrence, the luminescent light is clearly noticeable by visual observations and also by standard camera equipment which makes automated crack detection possible as well. It is expected that crack luminescence can increase structural safety as well as reduce costs and time for inspections and preventive maintenance.</abstract>
    <parentTitle language="eng">Materials Today: Proceedings</parentTitle>
    <identifier type="doi">10.1016/j.matpr.2020.02.338</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-510517</identifier>
    <identifier type="issn">2214-7853</identifier>
    <enrichment key="date_peer_review">03.12.2020</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Falk Hille</author>
    <author>D. Sowietzki</author>
    <author>R. Makris</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Coating</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fatigue</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Crack damage detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Luminescence</value>
    </subject>
    <collection role="ddc" number="62">Ingenieurwissenschaften</collection>
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    <collection role="themenfelder" number="">Material</collection>
    <collection role="themenfelder" number="">Degradationsmechanismen</collection>
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    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
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    <file>https://opus4.kobv.de/opus4-bam/files/51051/1-s2.0-S2214785320310932.pdf</file>
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    <publishedYear>2024</publishedYear>
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    <type>lecture</type>
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    <completedDate>--</completedDate>
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    <title language="eng">Developing a guideline for SHM of road bridges in Germany</title>
    <abstract language="eng">In recent years, Structural Health Monitoring (SHM) has become a useful and increasingly widely used tool for supporting lifetime extensions of existing bridges with known structural deficiencies or indications of potentially critical damages or damage processes. At the same time, methods and tools are emerging, which enable monitoring-informed predictive maintenance of new and existing bridges based on digital twins. The monitoring process – starting from the definition of monitoring actions and ending with decisions based on monitoring outcomes – is complex and requires expertise in structural engineering, operation and maintenance of bridges, metrology, and data analytics. To support German road authorities, engineering consultancies, building contractors and other stakeholders of the bridge management, the Federal Highway Research Institute (BASt) has initiated the development of a new guideline for applying SHM as part of the management of road bridges. The guideline will present various use cases and for each identified use case, it will propose a proven monitoring scheme. In addition, the guideline will provide guidance on assessing the benefits of SHM as well as a common approach to managing monitoring data as a systematic basis for integrating monitoring data in the bridge management. This contribution discusses the motivation, objectives, and scope of the guideline, describes its use case centric structure and outlines the proposed data management.</abstract>
    <enrichment key="eventName">IABMAS 2024</enrichment>
    <enrichment key="eventPlace">Kopenhagen, Danmark</enrichment>
    <enrichment key="eventStart">24.06.2024</enrichment>
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    <author>Falk Hille</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Guideline</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Infrastructure</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Structural health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Road bridges</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
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  </doc>
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    <language>eng</language>
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    <issue>7</issue>
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    <publisherName>NDT.net GmbH &amp; Co. KG</publisherName>
    <publisherPlace>Mayen</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <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>
    <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":[[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>
    <enrichment key="local_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="eventName">10th European Workshop on Structural Health Monitoring (EWSHM 2024)</enrichment>
    <enrichment key="eventPlace">Potsdam</enrichment>
    <enrichment key="eventStart">10.06.2024</enrichment>
    <enrichment key="eventEnd">13.06.2024</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>
    <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/61281/80_manuscript.pdf</file>
  </doc>
  <doc>
    <id>55472</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>265</pageFirst>
    <pageLast>284</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>2379</volume>
    <type>conferenceobject</type>
    <publisherName>VDI-Verlag</publisherName>
    <publisherPlace>Düsseldorf</publisherPlace>
    <creatingCorporation>VDI Wissensforum</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <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>
    <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>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>
    <collection role="themenfelder" number="">Energie</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="">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>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>55478</id>
    <completedYear/>
    <publishedYear>2022</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">Structural Health Monitoring am Großen Fallturm der BAM</title>
    <abstract language="deu">In diesem Beitrag wird die Structural Health Monitoring Kampagne am Großen Fallturm der BAM vorgestellt.</abstract>
    <enrichment key="eventName">Seminar "Zerstörungsfreie Prüfung"</enrichment>
    <enrichment key="eventPlace">Online meeting</enrichment>
    <enrichment key="eventStart">13.01.2022</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>Falk Hille</author>
    <author>Ralf Herrmann</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Belastungsversuch</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Großer Fallturm Horstwalde</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Schwingungsdynamik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Modalanalyse</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="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
  <doc>
    <id>55474</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <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>
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    <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>
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    <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>
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    <enrichment key="eventStart">10.07.2022</enrichment>
    <enrichment key="eventEnd">15.07.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <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>
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    <publishedYear>2022</publishedYear>
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    <language>deu</language>
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    <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>
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    <enrichment key="eventStart">04.09.2022</enrichment>
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    <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>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>structural health monitoring</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>building information modelling</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>structural integrity management</value>
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    <collection role="ddc" number="621">Angewandte Physik</collection>
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