Structural damage detection using finite element model updating with evolutionary algorithms: a survey

Structural damage identification based on finite element (FE) model updating has been a research direction of increasing interest over the last decade in the mechanical, civil, aerospace, etc., engineering fields. Various studies have addressed direct, sensitivity-based, probabilistic, statistical,...

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Veröffentlicht in:	Neural computing & applications Jg. 30; H. 2; S. 389 - 411
Hauptverfasser:	Alkayem, Nizar Faisal, Cao, Maosen, Zhang, Yufeng, Bayat, Mahmoud, Su, Zhongqing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2018 Springer Nature B.V
Schlagworte:	Aerospace engineering Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Damage detection Data Mining and Knowledge Discovery Dynamic characteristics Evolutionary algorithms Finite element method Genetic algorithms Identification Identification methods Image Processing and Computer Vision Iterative methods Model updating Probabilistic methods Probability and Statistics in Computer Science Review Statistical analysis Statistical methods Structural damage Dynamic characteristics Structural damage detection Evolutionary algorithms Residuals Optimization Finite element model updating
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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