Please use this identifier to cite or link to this item: https://doi.org/10.21595/jve.2017.18571
Title: Structural health monitoring of 3d frame structures using finite element modal analysis and genetic algorithm
Authors: Tiachacht, S
Bouazzouni, A
Khatir, K
Behtani, A
Zhou, Y.-L.M 
Wahab, M.A
Keywords: Benchmarking
Damage detection
Finite element method
Floors
Genetic algorithms
Modal analysis
Optimization
Structural frames
3D frames
Damage assessments
Damage Identification
Damaged structures
Experimental benchmarks
Finite element modal analysis
New applications
Optimization problems
Structural health monitoring
Issue Date: 2018
Publisher: JVE International
Citation: Tiachacht, S, Bouazzouni, A, Khatir, K, Behtani, A, Zhou, Y.-L.M, Wahab, M.A (2018). Structural health monitoring of 3d frame structures using finite element modal analysis and genetic algorithm. Journal of Vibroengineering 20 (1) : 202-214. ScholarBank@NUS Repository. https://doi.org/10.21595/jve.2017.18571
Rights: Attribution 4.0 International
Abstract: In this paper, we present a new application based on Genetic Algorithm (GA) to detect damage in 3D frame structures. Finite Element Method (FEM) is used to build models for intact and damaged structures. The identification of damage is formulated as an optimization problem using GA and the changes in natural frequencies. A 3D frame structure with two floor is used, as a numerical example, for damage identification. The proposed method is then applied to identify some removed elements. The results obtained using FEM is validated using experimental benchmark test of a 3D frame structure with eight floors. The results show that the proposed technique gives good damage identification compared with literature [1]. Furthermore, there is no error recorded in the prediction of location, however a small error is recorded in detecting damage severity. It is concluded that GA is an efficient tool to quantify single and multiple damages with high precision in 3D frame structures. © JVE INTERNATIONAL LTD.
Source Title: Journal of Vibroengineering
URI: https://scholarbank.nus.edu.sg/handle/10635/179050
ISSN: 13928716
DOI: 10.21595/jve.2017.18571
Rights: Attribution 4.0 International
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