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

机译:遗传算法实现最大屈曲负荷能力的层压复合板结构优化

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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:在本研究中,通过使用遗传算法进行用于最大屈曲负载能力的层压复合板的结构优化。所考虑的复合板是由石墨/环氧树脂制成的64层层压板,仅在四面支撑,并受面内压缩静载荷。使用0_2,±45,90_2的2-PLY叠层确定关键屈曲载荷和不同的板宽度比。问题有多个全局解决方案,其结果与先前公布的结果进行了比较。

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