Domagalski, Ł.; Kowalczyk, I. Genetic Algorithm Optimization of Beams in Terms of Maximizing Gaps between Adjacent Frequencies. Materials2023, 16, 4963.
Domagalski, Ł.; Kowalczyk, I. Genetic Algorithm Optimization of Beams in Terms of Maximizing Gaps between Adjacent Frequencies. Materials 2023, 16, 4963.
Domagalski, Ł.; Kowalczyk, I. Genetic Algorithm Optimization of Beams in Terms of Maximizing Gaps between Adjacent Frequencies. Materials2023, 16, 4963.
Domagalski, Ł.; Kowalczyk, I. Genetic Algorithm Optimization of Beams in Terms of Maximizing Gaps between Adjacent Frequencies. Materials 2023, 16, 4963.
Abstract
The aim of this paper is to optimize thickness variation function of simply supported and cantilever beams, in terms of maximizing gaps between chosen neighboring frequencies and analyze obtained results. The optimization results are examined in terms of achieving the objective function (related to eigenproblem), but also in terms of their dynamics stiffness (forced vibrations excited by point harmonic load). In the optimization process, a Genetic Algorithm was used. Problems related to structural dynamics were solved by FEM implementation into the algorithm. Sample results were presented, and the developed algorithm was analyzed in terms of result convergence by examining several variable parameters. The authors demonstrated the validity of applying the described optimization tool to the presented problems. Conclusions were drawn regarding the correlation between stiffness and mass distribution in the optimized beams and the natural frequency modes in terms of which they were optimized.
Copyright:
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