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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for model updating

Authors :
Thanh Sang-To
Hoang-Le Minh
Tran-Thanh Danh
Samir Khatir
Magd Abdel Wahab.
Thanh Cuong-Le
Source :
Frattura ed Integrità Strutturale, Vol 16, Iss 59, Pp 141-152 (2022)
Publication Year :
2022
Publisher :
Gruppo Italiano Frattura, 2022.

Abstract

Modality and intermittent search strategy in combination with an Improve Particle Swarm Optimization algorithm (IPSO) to detect damage structure via using vibration analysis basic principle of a decline stiffness matrix a structure is presented in the study as a new technique. Unlike an optimization problem using a simplistic algorithm application, the combination leads the promising results. Interestingly, the PSO algorithm solves the optimal problem around the location determined previously, whereas Eagle Strategy (ES) is the charging of locating the position in intermittent space for the PSO algorithm to search local. ES can be easy to deal with its problem via drastic support of Levy flight. As know that the PSO algorithm has a fast search speed, yet the accuracy of the PSO algorithm is not as good as expected in many problems. Meanwhile, the combination is powerful to solve two trouble (1. Avoiding local optimization, 2. Receiving the result more accurate). The paper compares the results obtained from the PSO algorithm with the combination of IPSO and ES in some problems, as well as between experiment and FEM to demonstrate the effectiveness as mentioned. In which natural frequencies is used as the objective function to solve this optimization problem. The results present that the combination of IPSO and ES is quite effective.

Details

Language :
English
ISSN :
19718993
Volume :
16
Issue :
59
Database :
Directory of Open Access Journals
Journal :
Frattura ed Integrità Strutturale
Publication Type :
Academic Journal
Accession number :
edsdoj.6adf2475bda34faaa20b853ed51c26bc
Document Type :
article
Full Text :
https://doi.org/10.3221/IGF-ESIS.59.11