Multiple damage detection in composite beams using Particle Swarm Optimization and Genetic Algorithm

Authors

  • Samir Khatir
  • Idir Belaidi
  • Tawfiq Khatir
  • Abderrachid Hamrani
  • Yun-Lai Zhou
  • Magd Abdel Wahab

DOI:

https://doi.org/10.5755/j01.mech.23.4.15254

Keywords:

Damage detection, composite beams, modal analysis, Finite Element Analysis, Particle Swarm Optimization, Genetic Algorithm

Abstract

This paper presents a methodology for damage detection and localization in composite beams using vibration data, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The data was acquired by developing a software that performs dynamic analysis of composite beams based on the Finite Element Method (FEM). The objective function makes use of natural frequencies and Modal Assurance Criterion. After validating the effectiveness of the proposed method, a comparative study between the performances of PSO and GA in detecting multiple and single damage scenarios is carried out. Then, the effect of noise is investigated by taking different noise levels in the modal data. It appears that the noise has a negligible effect on the performance of the presented approaches.

DOI: http://dx.doi.org/10.5755/j01.mech.23.4.15254

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Published

2017-09-07

Issue

Vol. 23 No. 4 (2017)

Section

MECHANICS OF SOLID BODIES

License

The copyright for the articles in this journal is retained by the author(s) with the first publication right granted to the journal. The journal is licensed under the Creative Commons Attribution License 4.0 (CC BY 4.0).