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Related Experiment Video

Updated: Sep 13, 2025

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Time-Frequency Characteristics of Vehicle-Bridge Interaction System for Structural Damage Detection Using

Mingzhe Gao1, Xinqun Zhu1, Jianchun Li1

  • 1School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
Summary

This study introduces a new multi-synchrosqueezing transform method to analyze vehicle-bridge interaction for detecting structural damage in bridges. The technique accurately identifies time-varying characteristics, serving as key indicators for bridge health monitoring.

Keywords:
bridge health monitoringconcrete bridgesmuti-synchrosqueezing transformtime-frequency characteristicstime-frequency representationvehicle-bridge interaction

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Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Signal Processing

Background:

  • Structural damage in bridges is often localized and affects the dynamic response to moving vehicles.
  • Vehicle-bridge interaction (VBI) is a complex non-stationary process sensitive to structural integrity.
  • Accurate identification of local damage requires analyzing time-varying bridge response characteristics.

Purpose of the Study:

  • To propose a novel method for extracting time-varying characteristics of VBI systems for bridge structural health monitoring.
  • To investigate the efficacy of the multi-synchrosqueezing transform for damage detection.
  • To analyze the influence of damage parameters, vehicle speed, and road roughness on VBI system characteristics.

Main Methods:

  • Development of a vehicle-bridge interaction model to simulate bridge responses under moving vehicles.
  • Application of a novel multi-synchrosqueezing transform to decompose and analyze non-stationary VBI signals.
  • Simulation of various concrete bridge damage scenarios to test the method's robustness.

Main Results:

  • The proposed multi-synchrosqueezing transform method effectively extracts time-varying features from VBI systems.
  • The method accurately identifies structural damage by analyzing these extracted features.
  • Simulations demonstrated the influence of damage severity, vehicle speed, and road conditions on the VBI characteristics.

Conclusions:

  • The novel multi-synchrosqueezing transform is a powerful tool for bridge structural health monitoring.
  • Extracted time-varying features of VBI systems serve as reliable indicators of structural damage.
  • The method shows potential for efficient and accurate real-world bridge damage assessment.