Research on damage identification of highway bridge

Hanbing Wang; Yunkai Zhang; Guohua Li

doi:10.1117/12.2611035

14 October 2021 Research on damage identification of highway bridge

Hanbing Wang, Yunkai Zhang, Guohua Li

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 1193017 (2021) https://doi.org/10.1117/12.2611035
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

This paper summarizes the current highway bridge damage detection methods, and draws the following conclusions: 1. Traditional static reaction and dynamic characteristic recognition methods can more accurately identify the damage position of the bridge, but it is more sensitive to the environment impact, and the confidence of the recognition in the complex environment needs to be improved. 2. The bridge damage identification method based on wavelet analysis is more adaptable to the environment, but this method is mainly used for bridge damage identification with bridge local structure and simple structure, and its universality needs to be further improved. 3. The bridge damage recognition method based on artificial neural network can be combined with big data to form a highly intelligent system. However, it is difficult to identify special structural bridge damage with insufficient data samples. 4. The indirect method research of bridge damage identification has the advantages of high efficiency, strong flexibility and cost saving. Therefore, it has the engineering value of the broad application prospect. The author puts forward the outlook based on the above conclusions.

Citation Download Citation

Hanbing Wang, Yunkai Zhang, and Guohua Li "Research on damage identification of highway bridge", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 1193017 (14 October 2021); https://doi.org/10.1117/12.2611035

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