Damage Identification of Frame Structures Based on Compressed Signal Processing
Keywords:
Compressed sensing, Damage identification, Wavelet packet decomposition, Characteristic energy vector, Numerical simulationAbstract
In view of the huge amount of data generated in the process of structural health monitoring and the huge burden on data storage, a structural damage identification method based on compressed sensing is proposed. This method first reduces the dimension of the original signal by means of compressive perception theory and characterizes the original damage signal by replacing the original signal with the compressed signal. Then, the compressed signal is wavelet packet decomposition and damage identification is performed by constructing energy eigenvectors. In order to better reflect the advantages of compressive perception applied to structural damage identification, the processed compressed signal is compared with the original signal for damage identification. A three-story reinforced concrete frame is simulated by finite element software ABAQUS, which is verified by the damage identification method and numerical examples. The results show that the proposed method can accurately identify structural damage using compressed signals and obtain more accurate recognition results while reducing the computational load.
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