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Influence of vehicle traffic on modal-based bridge monitoring

Kohm, Mareike 1; Stempniewski, Lothar 1; Stark, Alexander ORCID iD icon 1
1 Institut für Massivbau und Baustofftechnik (IMB), Karlsruher Institut für Technologie (KIT)

Abstract:

In recent years, there has been a surge of interest in modal-based monitoring systems, especially for bridge structures, to detect damage at an early stage and to extend the life of existing bridges as well as to minimize maintenance costs. The modal parameters, natural frequencies and mode shapes, depend on stiffness and mass of a structure. For an economic application of a modal-based monitoring system, the estimation of the modal parameters based on the Operational Modal Analysis needs to be estimated. The Operational Modal Analysis uses the naturally existing vibration sources, such as wind and traffic, to estimate the modal parameters. A significant advantage is therefore that the bridges do not have to be closed to traffic. In this context, the modal parameters are influenced by the vehicle traffic due to the associated temporally and spatially variable mass, stiffness and damping properties of the overall system. In this paper, the influence of those operational loads and road roughness on the modal parameter estimation is numerically investigated. The vehicles are modeled as half-vehicle models. In addition, the influence of vehicle traffic is shown using in situ measurements on an existing bridge. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000151399
Veröffentlicht am 13.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Massivbau und Baustofftechnik (IMB)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2190-5452, 2190-5479
KITopen-ID: 1000151399
Erschienen in Journal of Civil Structural Health Monitoring
Verlag Springer
Band 13
Heft 1
Seiten 219–234
Vorab online veröffentlicht am 30.09.2022
Schlagwörter Bridge monitoring, Modal-based damage identification, Operating conditions, Operational modal analysis
Nachgewiesen in Web of Science
Dimensions
Scopus
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