Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Smart Structures and Systems Volume 31, Number 2, February 2023 , pages 155-169 DOI: https://doi.org/10.12989/sss.2023.31.2.155 |
|
|
|
Extraction of quasi-static component from vehicle-induced dynamic response using improved variational mode decomposition |
||
Zhiwei Chen, Long Zhao, Yigui Zhou, Wen-Yu He and Wei-Xin Ren
|
||
| Abstract | ||
| The quasi-static component of the moving vehicle-induced dynamic response is promising in damage detection as it is sensitive to bridge damage but insensitive to environmental changes. However, accurate extraction of quasi-static component from the dynamic response is challenging especially when the vehicle velocity is high. This paper proposes an adaptive quasistatic component extraction method based on the modified variational mode decomposition (VMD) algorithm. Firstly the analytical solutions of the frequency components caused by road surface roughness, high-frequency dynamic components controlled by bridge natural frequency and quasi-static components in the vehicle-induced bridge response are derived. Then a modified VMD algorithm based on particle swarm algorithm (PSO) and mutual information entropy (MIE) criterion is proposed to adaptively extract the quasi-static components from the vehicle-induced bridge dynamic response. Numerical simulations and real bridge tests are conducted to demonstrate the feasibility of the proposed extraction method. The results indicate that the improved VMD algorithm could extract the quasi-static component of the vehicle-induced bridge dynamic response with high accuracy in the presence of the road surface roughness and measurement noise. | ||
| Key Words | ||
| adaptive extraction; dynamic response; moving load; quasi-static components | ||
| Address | ||
| (1) Zhiwei Chen, Long Zhao, Yigui Zhou: Department of Civil Engineering, Xiamen University, Xiamen, 361005, China; (2) Zhiwei Chen: Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, Xiamen, 361005, China; (3) Wen-Yu He: Department of Civil Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; (4) Wen-Yu He: Anhui Engineering Laboratory for Infrastructural Safety Inspection and Monitoring, Hefei University of Technology, Hefei, Anhui 230009, China; (5) Wei-Xin Ren: College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, Guangdong 518061, China. | ||