Smart Structures and Systems

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Modal identification of time-varying vehicle-bridge system using a single sensor

  • Li, Yilin (Department of Civil Engineering, Hefei University of Technology) ;
  • He, Wen-Yu (Department of Civil Engineering, Hefei University of Technology) ;
  • Ren, Wei-Xin (College of Civil and Transportation Engineering, Shenzhen University) ;
  • Chen, Zhiwei (Department of Civil Engineering, Xiamen University) ;
  • Li, Junfei (Department of Civil Engineering, Hefei University of Technology)
  • Received : 2021.11.16
  • Accepted : 2022.04.11
  • Published : 2022.07.25
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Abstract

Modal parameters are widely used in bridge damage detection, finite element model (FEM) updating and design optimization. However, the conventional modal identification approaches require large number of sensors, enormous data processing workload, but normally result in mode shapes with low accuracy. This paper proposes a modal identification method of time-varying vehicle-bridge system using a single sensor. Firstly, the essential physical relationship between the instantaneous frequency of the vehicle-bridge system and the bridge mode shapes are derived. Subsequently, based on the synchroextracting transform, the instantaneous frequency of the system is tracked through the dynamic response collected by a single sensor, and further the modal parameters are estimated by using the derived physical relationship. Then numerical and experimental examples are conducted to examine the feasibility and effectiveness of the proposed method. Finally, the modal parameters identified by the proposed method are applied in bridge FEM updating. The results manifest that the proposed method identifies the modal parameters with high accuracy via a single sensor, and can provide reliable data for the FEM updating.

Keywords

Acknowledgement

The paper is supported by the National Natural Science Foundation of China (No. 51878234, 51778550 and 51778204), Natural Science Fund for Distinguished Young Scholars of Anhui Province (2208085J20), Fundamental Research Funds for the Central Universities (No. JZ2019HGPA0101), Shenzhen Science and Technology Program (No. KQTD2018041218133749 4), Scientific Research Fund of Hunan Provincial Education Department (Project No. 19B106), Natural Science Foundation of Hunan Province Province (No. 2021JJ50145).

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