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Smart Structures and Systems Volume 33, Number 2, February 2024 , pages 145-163 DOI: https://doi.org/10.12989/sss.2024.33.2.145 |
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Time-varying characteristics analysis of vehicle-bridge interaction system using an accurate time-frequency method |
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Tian-Li Huang, Lei Tang, Chen-Lu Zhan, Xu-Qiang Shang, Ning-Bo Wang and Wei-Xin Ren
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| Abstract | ||
| The evaluation of dynamic characteristics of bridges under operational traffic loads is a crucial aspect of bridge structural health monitoring. In the vehicle-bridge interaction (VBI) system, the vibration responses of bridge exhibit timevarying characteristics. To address this issue, an accurate time-frequency analysis method that combines the autoregressive power spectrum based empirical wavelet transform (AR-EWT) and local maximum synchrosqueezing transform (LMSST) is proposed to identify the time-varying instantaneous frequencies (IFs) of the bridge in the VBI system. The AR-EWT method decomposes the vibration response of the bridge into mono-component signals. Then, LMSST is employed to identify the IFs of each mono-component signal. The AR-EWT combined with the LMSST method (AR-EWT+LMSST) can resolve the problem that LMSST cannot effectively identify the multi-component signals with weak amplitude components. The proposed AREWT+ LMSST method is compared with some advanced time-frequency analysis techniques such as synchrosqueezing transform (SST), synchroextracting transform (SET), and LMSST. The results demonstrate that the proposed AR-EWT+LMSST method can improve the accuracy of identified IFs. The effectiveness and applicability of the proposed method are validated through a multi-component signal, a VBI numerical model with a four-degree-of-freedom half-car, and a VBI model experiment. The effect of vehicle characteristics, vehicle speed, and road surface roughness on the identified IFs of bridge are investigated. | ||
| Key Words | ||
| autoregressive power spectrum based empirical wavelet transform (AR-EWT); local maximum synchrosqueezing transform (LMSST); time-varying characteristics; vehicle-bridge interaction (VBI) system | ||
| Address | ||
| (1) Tian-Li Huang, Lei Tang, Chen-Lu Zhan, Xu-Qiang Shang, Ning-Bo Wang: School of Civil Engineering, Central South University, Changsha, Hunan 410075, China; (2) Wei-Xin Ren: College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, Guangdong 518061, China. | ||