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Ratio-based features for bridge damage detection based on displacement influence line and curvature influence line

Döring, Andreas ORCID iD icon 1; Vogelbacher, Markus ORCID iD icon 1; Schneider, Oliver; Müller, Jacob; Hinz, Stefan 2; Matthes, Jörg 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
2 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Bridges are getting older and older in Germany. This leads to a high demand of maintenance in the future. Stuctural health monitoring can be a helpful tool for bridge assessment in identifying bridge damage in the early stages. Our goal is a system that is non-invasive, mobile and can be retrofitted on existing bridges under ongoing operation of traffic. The conventional methods of bridge assessment and monitoring use strain measurements and acceleration sensors and are based on modal properties – such as natural frequencies, modal damping and displacement modes or curvature/strain modes – which are prone to environmental changes such as temperature and vehicles. Recent papers introduce features based on the curvature influence line. Some of the introduced features are based on ratios and single vehicle crosses. The advantage of ratio-based features is the reduction of the unknown load. The results show promising results for strain based signals. The question now arises how well the ratio-based features for strain signals can be transferred to the displacement signals measured by an interferometric radar. The advantage of using radar over strain sensors is that the radar is non-invasive and mobile. ... mehr


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Vortrag
Publikationsdatum 11.07.2022
Sprache Englisch
Identifikator KITopen-ID: 1000172244
HGF-Programm 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
Veranstaltung 11th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022), Barcelona, Spanien, 11.07.2022 – 15.07.2022
Projektinformation ZEBBRA (BMBF, 13N14709)
Schlagwörter Feature Engineering, Feature Extraction, Bridge Health Monitoring, Structural Health Monitoring
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