Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

Structural damage identification has received considerable attention during the past decades. Although several reviews have been presented, some new developments have emerged in this area, particularly machine learning and artificial intelligence techniques. This article reviews the progress in the...

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Veröffentlicht in:Journal of sound and vibration Jg. 491; S. 115741
Hauptverfasser: Hou, Rongrong, Xia, Yong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier Ltd 20.01.2021
Elsevier Science Ltd
Schlagworte:
Algorithms
Artificial intelligence
Civil engineering
Crack propagation
Damage detection
Damage identification
Identification methods
Machine learning
Model updating
Review
Structural damage
Vibration
Vibration analysis
Vibration method
Damage identification
Review
Vibration method
Model updating
ISSN:0022-460X, 1095-8568
Online-Zugang:Volltext
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Zusammenfassung:Structural damage identification has received considerable attention during the past decades. Although several reviews have been presented, some new developments have emerged in this area, particularly machine learning and artificial intelligence techniques. This article reviews the progress in the area of vibration-based damage identification methods over the past 10 years. These methods are classified in terms of different damage indices and analytical/numerical techniques used with discussions of their advantages and disadvantages. The challenges and future research for vibration-based damage identification are summarised. This review aims to help researchers and practitioners in implementing existing damage detection algorithms effectively and developing more reliable and practical methods for civil engineering structures in the future.
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ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2020.115741