An Experimental Investigation of the Indirect Bridge Frequency Identification
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Bibliographic Details
| Author(s): |
Xudong Jian
(State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)
Xinhong Liu (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China) Jiwei Zhong (State Key Laboratory for Health and Safety of Bridge Structures, Wuhan 430034, China) Yafei Wang (State Key Laboratory for Health and Safety of Bridge Structures, Wuhan 430034, China) Ye Xia (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Published in: | IABSE Congress Nanjing 2022 | ||||
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| Page(s): | 1521-1526 | ||||
| Total no. of pages: | 6 | ||||
| DOI: | 10.2749/nanjing.2022.1521 | ||||
| Abstract: |
Indirect identification of bridge frequencies, which refers to identifying bridge frequencies from the dynamic responses of a vehicle moving or stopping on the bridge, has the potential to fast inspect bridges in large quantities. Although there have been extensive studies on this topic, most of them are built on theoretic analysis or numerical simulation, which could differ from the situations in real practice. As a complement, this study carries out an experimental investigation of the indirect approach for bridge frequency identification. In the experiments, a normal passenger car instrumented with accelerometers moves and stops on a real bridge for indirect sensing, and a stationary accelerometer is directly deployed on the bridge as a control. Experimental results provide some new insights into the indirect bridge frequency identification from the practical aspect. |
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| Keywords: |
field test indirect bridge frequency identification vehicle-scanning method drive-by sensing power spectral density signal-to-noise ratio
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
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