Dokument-ID Dokumenttyp Autoren/innen Persönliche Herausgeber/innen Haupttitel Abstract Auflage Verlagsort Verlag Herausgeber (Institution) Erscheinungsjahr Titel des übergeordneten Werkes Jahrgang/Band ISBN Veranstaltung Veranstaltungsort Beginndatum der Veranstaltung Enddatum der Veranstaltung Ausgabe/Heft Erste Seite Letzte Seite URN DOI Lizenz Datum der Freischaltung OPUS4-49265 Vortrag Simon, Patrick Structural Health Monitoring (SHM) unter Temperatureinflüssen Beim Structural Health Monitoring (SMH) besteht eine der Hauptsächlichen Störgrößen im Einfluss der Umgebungsbedingungen, insbesondere der Temperatur. Es wird ein Einblick in die Problemstellung gegeben sowie Lösungsansätze diskutiert und aktuelle Forschung an der BAM vorgestellt. 2019 Internes Arbeitskolloquium TU Berlin Berlin, Germany 11.10.2019 2019-10-16 OPUS4-47702 Vortrag Simon, Patrick Untersuchungsmethoden klimatisch belasteter Bauteile - Projektupdate BAM Kontinuierliche Sensorbasierte Bauwerksmessungen leisten einen wichtigen Beitrag zur Sicherheit von Verkehrsbauwerken. Hierzu werden im Vorhaben AISTEC Referenzbauwerke und Referenzverfahren untersucht mit Schwerpunkt auf den Einfluss klimatischer Bedingungen. Der Vortrag stellt den aktuellen Projektstand des FB 7.2 vor. 2019 Erstes Verbundtreffen AISTEC Weimar, Germany 21.03.2019 21.03.2019 2019-04-02 OPUS4-57242 Vortrag Herrmann, Ralf SHM system integration and experiments at a high speed railway bridge The long-term preservation of our infrastructure requires not only intelligent sensor technology and highly developed monitoring procedures, but also innovative digital tools for analyzing, evaluating and utilizing the results. This includes mathematical and, in particular, probabilistic methods for damage detection and tracking as well as for calculating service life and maintenance cycles and data management. The example project Maintal Bridge Gemuenden as part of the AISTEC project shows the workflow for the implementation of structural health monitoring and experimental tests with a train of Deutsche Bahn. The influence lines, as one possible way for damage detection, were measured with a highly accurate GNSS System to locate the trains position when crossing the bridge. The results were compared to measurements from 1987 just before the bridge went in operation. 2023 Structural Health Monitoring Using Statistical Pattern Recognition Berlin, Germany 20.03.2023 23.03.2023 2023-03-28 OPUS4-46325 Vortrag Baeßler, Matthias; Schneider, Ronald Anwendung von kontinuierlichen sensor-basierten Monitoringverfahren zur Bewertung von Infrastrukturbauwerken Kontinuierliche Sensorbasierte Bauwerksmessungen leisten einen wichtigen Beitrag zur Sicherheit von Verkehrsbauwerken. Hierzu werden im Vorhaben AISTec Referenzbauwerke und Referenzverfahren untersucht. Der Vortrag stellt die Expertise des FB 7.2, Herangehensweisen und Projektziele vor´. 2018 Kick-Off AIStec Weimar, Germany 17.10.2018 2018-10-19 OPUS4-46059 Beitrag zu einem Tagungsband Baeßler, Matthias; Hille, Falk Powers, N.; Frangopol, D. A study on diverse strategies for discriminating environmental from damage based variations in monitoring data 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. 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. 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. CRC Press 2018 Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges 978-1-138-73045-8 IABMAS Melbourne, Australia 09.07.2018 13.07.2018 1557 1564 2018-09-27 OPUS4-46060 Vortrag Baeßler, Matthias Strategies for discriminating environmental from damage based variations in monitoring data 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. 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. 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. 2018 IABMAS 2018 Melbourne, Australia 09.07.2018 13.07.2018 2018-09-27