Research on damage identification of highway bridge

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.