Multi-objective optimization for lightweight design of bi-directional functionally graded beams for maximum frequency and buckling load

Volume: 278, Pages: 114691 - 114691
Published: Dec 1, 2021
Abstract
This paper proposes a multi-objective particle swarm optimization (MOPSO) algorithm integrated with a semi-analytical solution to solve optimization problems of lightweight design of bi-directional functionally graded (BDFG) beams for maximum fundamental frequency and/or maximum critical buckling load. The MOPSO algorithm is utilized to search for Pareto-optimal solutions that present the best trade-off optimal material distributions to achieve...
Paper Details
Title
Multi-objective optimization for lightweight design of bi-directional functionally graded beams for maximum frequency and buckling load
Published Date
Dec 1, 2021
Volume
278
Pages
114691 - 114691
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