VIBRATION-BASED STRUCTURAL DAMAGE IDENTIFICATION: A REVIEW

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. Advant...

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Published in:International journal of robotics & automation 2020-01, Vol.35 (2)
Main Authors: Yang, Jian-Yu, Xia, Bin-Hua, Chen, Zengshun, Li, Tian-Long, Liu, Renming
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Damage detection
Machine learning
Structural damage
Vibration
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container_title International journal of robotics & automation
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creator Yang, Jian-Yu
Xia, Bin-Hua
Chen, Zengshun
Li, Tian-Long
Liu, Renming
description 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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subjects Artificial intelligence
Artificial neural networks
Damage detection
Machine learning
Structural damage
Vibration
title VIBRATION-BASED STRUCTURAL DAMAGE IDENTIFICATION: A REVIEW
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