Structures Multi-Damage Detection by Discrete Wavelet Entropy Method

Document Type : پژوهشی

Authors

• Milad Ashoorzade moghri
• Ali Bigleri Fadafen

Gorgan Faculty of Engineering, Golestan University, Gorgan.

10.22067/jfcei.2021.61588.0

Abstract

Identification of infrastructure damage in the early stages is one of the most fundamental requirements through the maintenance process. In order to identify damages in the process of Structural Health Monitoring, numerous methods have been developed, including Neural Network (NN) Damage Identification Techniques, Time Series Damage Identification Techniques, Frequency Response Damage Identification Techniques, Force Spectrum Density Damage Identification Techniques, and Wavelet Damage Identification Techniques. The conventional structural health monitoring procedure depends on a comparison of undamaged primary structural data to the affected structural data. Comparative algorithms to indicate the location of damage based on the structural data has a significant effect on the structural health monitoring method performance. Therefore, a damage detection algorithm is the most important step in identifying damage in the structural health monitoring procedure. In this paper, a damage identification algorithm based on the relative wavelet entropy method is proposed for the structure. Using the definition of the discrete wavelet transform with wavelet entropy form the base of the proposed algorithm for damage detection to support the method efficiency. The proposed method is capable of identifying several sites of damage and is used as an effective method compared to other methods of damage detection.

Keywords

• Structural Health Monitoring
• Damage Detection
• Discrete Wavelet Transform
• Relative Wavelet Entropy
• 3D frame

20.1001.1.27832805.1400.34.2.1.5

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