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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6390

Titre: Structural Health Monitoring of Beam-Like and Truss Structures Using Frequency Response and Particle Swarm Optimization: Volume 2: Numerical Modelling in Mechanical and Materials Engineering, NME 2018, 28-29 August 2018, Ghent University, Belgium
Auteur(s): Zenzen, Roumaissa
Khatir, Samir
Belaidi, Idir
Magd, Abdel Wahab
Mots-clés: Structural Health Monitoring
Date de publication: 2019
Collection/Numéro: Proceedings of the 1st International Conference on Numerical Modelling in Engineering;pp.390-399
Résumé: In this paper, non-destructive damage identification in beam-like and truss structures using Frequency Response (FR) data is presented. This approach is to formulate an inverse problem using Particle Swarm Optimization (PSO) and Finite Element Method (FEM) to identify the presence, location and quantification of the damage. PSO is one of the most efficient bio-inspired methods. It is used to minimize the objective function, which is based on FR data. The damage in structure is caused by loss of rigidity at a specific location. The capability and efficiency of this application to identify the location and severity of damage are demonstrated by means of several numerical examples. The results of the proposed approach show good accuracy.
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6390
Collection(s) :Chapitres D'ouvrages

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