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Title: Damage localization and quantification of composite beam structures using residual force and optimization
Authors: Behtani, A
Bouazzouni, A
Khatir, S
Tiachacht, S
Zhou, Y.-L 
Wahab, M.A
Keywords: Beams and girders
Composite beams and girders
Finite element method
Genetic algorithms
Structural health monitoring
Vibration analysis
Composite beam structures
Damage Identification
Dynamic characteristics
Residual forces
Structural health monitoring (SHM)
Vibration-based damage detection
Damage detection
Issue Date: 2017
Publisher: Vibromechanika
Citation: Behtani, A, Bouazzouni, A, Khatir, S, Tiachacht, S, Zhou, Y.-L, Wahab, M.A (2017). Damage localization and quantification of composite beam structures using residual force and optimization. Journal of Vibroengineering 19 (7) : 4977-4988. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: Structural Health Monitoring (SHM) and impact monitoring of composite structures have become important research topics in the recent year. In this research, a non-destructive vibration-based damage detection method is formulated using Genetic Algorithm (GA) and compared with classical method. The robustness and reliability of the capability to locate and to estimate the severity of damage, based on changes in dynamic characteristics of a structure, is investigated. The objective function for the damage identification problem is established by using the residual force method (FRM). Numerical experiments using finite element analysis are performed on composite beams with different damage scenarios in order to clarify the validity of the developed technique. The comparison between estimated and real damage illustrates the efficiency of the algorithm in damage detection. The results show that the present approach is correct and efficient for detecting structural local damages in composite beam structures. © JVE INTERNATIONAL LTD.
Source Title: Journal of Vibroengineering
ISSN: 13928716
DOI: 10.21595/jve.2017.18302
Rights: Attribution 4.0 International
Appears in Collections:Staff Publications

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