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Improved vehicle scanning method for bridge damage detection
In this paper, the bridge damage is detected by improved vehicle scanning method. In order to extract the narrowband signals from the vehicle response, the improved VSM uses a designed elliptic filter. These narrowband signals generally have a good signal-to-noise ratio. Therefore, the signals can reconstruct vibration modes accurately. For a damaged bridge, the kinks on the vibration modes reveal the damage locations. It has been found this improved VSM yields a better result with a series of vehicles passing over the bridge. In addition, the reconstructed mode shapes reveal a more noticeable kink. It can be used to point out the damage location when compared to the use of existing VSMs. As a result, the improved VSM can distinguish the damage locations directly with little to none post-process. This is unlike the other VSMs generally need to compare baseline model, construct damage index, etc. to determine the damage.
Improved vehicle scanning method for bridge damage detection
In this paper, the bridge damage is detected by improved vehicle scanning method. In order to extract the narrowband signals from the vehicle response, the improved VSM uses a designed elliptic filter. These narrowband signals generally have a good signal-to-noise ratio. Therefore, the signals can reconstruct vibration modes accurately. For a damaged bridge, the kinks on the vibration modes reveal the damage locations. It has been found this improved VSM yields a better result with a series of vehicles passing over the bridge. In addition, the reconstructed mode shapes reveal a more noticeable kink. It can be used to point out the damage location when compared to the use of existing VSMs. As a result, the improved VSM can distinguish the damage locations directly with little to none post-process. This is unlike the other VSMs generally need to compare baseline model, construct damage index, etc. to determine the damage.
Improved vehicle scanning method for bridge damage detection
Yang, D. S. (author) / Wang, C. M. (author) / Duan, W. H. (author) / Geng, Guoqing / Qian, Xudong / Poh, Leong Hien / Pang, Sze Dai
2023-01-01
Yang , D S , Wang , C M & Duan , W H 2023 , Improved vehicle scanning method for bridge damage detection . in G Geng , X Qian , L H Poh & S D Pang (eds) , Proceedings of The 17th East Asian-Pacific Conference on Structural Engineering and Construction, 2022 - EASEC-17 . Lecture Notes in Civil Engineering , vol. 302 LNCE , Springer , pp. 426-436 , East Asian-Pacific Conference on Structural Engineering and Construction 2022 , Singapore , 27/06/22 . https://doi.org/10.1007/978-981-19-7331-4_34
Article (Journal)
Electronic Resource
English
Improved Vehicle Scanning Method for Bridge Damage Detection
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