The Damage Identification of Bridges Based on Structural Deflection and Wavelet Transform

Abstract

Wavelet transform can characterize the local features of the signal in the time domain and frequency domain, enlarges and identifies the mutation signal of the structural response at different scales as a new signal analysis tools. In this paper, based on the structural deflection curve, propose a wavelet-based method to identify the beam structural damage. Use wavelet function to decompose the deflection curve of the structure after injury. Determine the existence of damage by the change and distribution of wavelet transform coefficients, determine the damage location, and simulate a cantilever bridge to verify this method.

Damage Identification of Semi-Rigid Joints in Frame Structures Based on Additional Virtual Mass Method

“…Currently one of the most representative methods is based on machine learning [19][20][21][22], including two steps of feature extraction and classification of damage types, which requires predefined damage types for model training. For the signal-based method, such as wavelet analysis [23] and Hilbert-Huang transform [24], it does not need to consider the relation between the vibration signal and the model parameters, and statistical or signal processing techniques is used to extract features directly from the original vibration signal and classify the damage state by comparing it with the intact structure. The signal-based method could usually determine the fact of the defect, but it is not easy to determine the location and strength of the defect present in the tested structure.…”