Bridge Structural Health Monitoring under Moving Loads: A Time-varying Perspective

Mengya Shi *

School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou-450045, Henan, China.

*Author to whom correspondence should be addressed.


Abstract

With the rapid development of our country's economy, as the main hub of transportation, bridge undertakes increasingly heavy traffic tasks, and its safety requirements are getting higher and higher. In order to quickly and effectively judge the location and degree of damage of Bridges during service, effective measures can be taken to ensure the safe operation of Bridges, which makes the application of bridge structural damage identification technology more and more extensive in the field of bridge engineering. This paper reviews the research status, methods and challenges of time-varying bridge damage identification under moving loads, aiming to provide reference for relevant researchers. Firstly, the damage identification method based on dynamic response is proposed. The advantage of this method is that there is no need to interrupt traffic. Secondly, the strain energy-based damage identification methods focus on leveraging variations in strain energy distributions to detect and quantify damage in structures. The method is particularly effective as they relate directly to structural deformation and energy dissipation. In addition, a damage identification method based on wavelet packet decomposition is proposed. This method can reconstruct the signal to further highlight the damage information and improve the accuracy of recognition. Finally, the characteristics of each method are summarized and some problems and challenges in the study of time-varying damage of Bridges are put forward.

Keywords: Moving load, damage identification of bridge, time-varying damage, dynamic response, strain energy, wavelet packet analysis


How to Cite

Shi, Mengya. 2025. “Bridge Structural Health Monitoring under Moving Loads: A Time-Varying Perspective”. Advances in Research 26 (1):140-49. https://doi.org/10.9734/air/2025/v26i11241.