[en] Being an indispensable part of transportation systems, Structural Health Monitoring (SHM)
of bridges has been increasingly studied. Various SHM techniques not only enhance reliability and safety but
also reduce maintenance costs. Various bridge deteriorations change the structural properties, such as flexibility
and stiffness. Therefore, damage assessment can be achieved by monitoring the structural matrices of
bridges and tracking the deviations from the healthy-state or reference data. This paper focuses on damage
detection of a prestressed concrete beam from a demolished bridge based on the flexibility matrix. The
dynamic and static flexibility matrices are calculated numerically and experimentally when the beam is
undamaged. The simulated and measured static flexibility matrices differ by only about 5 %. Additionally, the
numerical dynamic flexibility matrix is strongly correlated with static results. The findings of this study can
be employed as a basis for future damage detection applications when artificial damage is introduced.
Disciplines :
Mechanical engineering Civil engineering
Author, co-author :
Dakhili, Khatereh ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Kebig, Tanja
Schäfer, Markus ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Maas, Stefan ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Bender, Michél
Zürbes, Arno
External co-authors :
yes
Language :
English
Title :
Bridge damage assessment based on static and dynamic flexibility matrices
Publication date :
2022
Event name :
11th International Conference on Bridge Maintenance, Safety and Management
Event place :
Barcelona, Spain
Event date :
11-15 July
Audience :
International
Main work title :
Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability
ISBN/EAN :
978-1-032-35623-5
Peer reviewed :
Peer reviewed
FnR Project :
FNR14008775 - New Methods For Bridge Damage Assessment, 2019 (15/11/2020-14/11/2024) - Stefan Maas
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