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Optimal design of thin-walled open cross-section column for maximum buckling load

机译:薄壁开放式横截面柱的最佳设计,用于最大屈曲负荷

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In this work, a finite element based optimization methodology is developed to obtain the optimal designs of thin-walled open cross-section columns for maximum buckling load. As a constraint for the optimization study, the total material volume of the column is kept constant. At first, an analytical formulation based on Bleich's (1952) approach, which considers the combined effect of both torsional and flexural buckling, is used to validate the finite element buckling load computation in ANSYS. Subsequently, these finite element buckling results are coupled with a Genetic Algorithm (GA) based optimization routine in MATLAB to obtain the optimal design of the cross-section of the columns. Optimal results are compared with a base model of the column having a cruciform cross-section. The optimization of the cross-sections results in remarkable enhancement, up to as high as 236%, in the maximum buckling load capacity compared to the base model.
机译:在这项工作中,开发了一种有限元的优化方法,以获得最大屈曲负荷的薄壁开放横截面柱的最佳设计。作为优化研究的约束,柱的总物质体积保持恒定。首先,基于BLEICH(1952)方法的分析制剂,该方法考虑了扭转和弯曲屈曲的综合效果,用于验证ANSYS中的有限元屈曲负载计算。随后,这些有限元屈曲结果与Matlab中的基于遗传算法(GA)的优化例程耦合,以获得列的横截面的最佳设计。将最佳结果与具有十字形横截面的柱的基础模型进行比较。与基础模型相比,横截面的优化导致显着的增强,高达高达236%,在最大屈曲负载容量中。

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