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

dc.contributor.authorZenzen, Roumaissa
dc.contributor.authorKhatir, Samir
dc.contributor.authorBelaidi, Idir
dc.contributor.authorMagd, Abdel Wahab
dc.date.accessioned2021-02-16T07:37:10Z
dc.date.available2021-02-16T07:37:10Z
dc.date.issued2019
dc.description.abstractIn 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.en_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/6390
dc.language.isoenen_US
dc.relation.ispartofseriesProceedings of the 1st International Conference on Numerical Modelling in Engineering;pp.390-399
dc.subjectStructural Health Monitoringen_US
dc.titleStructural 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, Belgiumen_US
dc.typeOtheren_US

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