Publication Date: 2024/01/11
Abstract: This paper presents new Particle Swarm Optimization algorithm for the determination of Chaboche model parameter. This is based on the reduction of search-space where the optimal parametersare belonged. The obtained results are compared to other metaheuristic approaches mainly the Genetic Algorithm and standard Particle Swarm Optimization by using the Mean Square Error and optimization time as criteria.The first yielded0.316 for a new approach. Despite this efficiency, the proposed approach has the highest optimization time, which is 787 seconds against 712 seconds for a standard Particle Swarm Optimization, and 615seconds for a Genetic Algorithm.
Keywords: Chaboche model; hardening parameter;genetic algorithm and particle swarm optimization.
DOI: https://doi.org/10.5281/zenodo.10488254
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23DEC1883.pdf
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