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Structural Optimization Of Laminated Composite Plates For Maximum Buckling Load Capacity Using Genetic Algorithm

机译:遗传算法的最大屈曲承载力叠层复合板结构优化

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摘要

In this study, the structural optimization of laminated composite plates for maximum buckling load capacity is performed by using genetic algorithm. The composite plate under consideration is a 64-ply laminate made of graphite/epoxy, is simply supported on four sides, and subject to in-plane compressive static loads. The critical buckling loads are determined for several load cases and different plate aspect ratios using 2-ply stacks of 0_2, ±45, 90_2. The problem has multiple global solutions, the results of which are compared with previously published results.
机译:在这项研究中,通过使用遗传算法进行了层压复合板的最大屈曲承载能力的结构优化。所考虑的复合板是由石墨/环氧树脂制成的64层层压板,仅在四个侧面上得到支撑,并承受面内压缩静载荷。使用0_2,±45、90_2的2层堆栈确定了几种载荷情况和不同板高宽比的临界屈曲载荷。该问题有多种全局解决方案,其结果将与以前发布的结果进行比较。

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