VIBRATION-BASED STRUCTURAL DAMAGE IDENTIFICATION: A REVIEW

Jian-Yu Yang, Bin-Hua Xia, Zengshun Chen, Tian-Long Li, and Renming Liu

Keywords

Damage detection, vibration-based damage detection, probability-based damage detection, intelligent-based damage detection

Abstract

Damage detection for structures remains a challenge problem that has attracted much attention. This study presents a review of vibration-based damage detection in structures. Dynamic- parameter-based techniques, probability-based techniques and intelligent-based techniques have been reviewed. Advantages and disadvantages of these techniques were summarized. Deep learning techniques using convolutional neural network have been introduced. Future trends of damage detection in structures are concluded.

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