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

机译:薄壁开放截面柱的优化设计,以实现最大屈曲载荷

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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,开发了一种基于有限元的优化方法,以获得薄壁开口截面圆柱的最佳设计,以实现最大屈曲载荷。作为优化研究的约束,色谱柱的总物料量保持恒定。首先,基于Bleich(1952)方法的分析公式考虑了扭转屈曲和挠曲屈曲的组合影响,用于验证ANSYS中有限元屈曲载荷的计算。随后,将这些有限元屈曲结果与MATLAB中基于遗传算法(GA)的优化例程相结合,以获得圆柱截面的最佳设计。将最佳结果与具有十字形横截面的色谱柱的基本模型进行比较。与基础模型相比,横截面的优化可显着提高最大屈曲负载能力,最高可提高236%。

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