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An efficient sensitivity computation strategy for the evolutionary structural optimization (ESO) of continuum structures subjected to self-weight loads

机译:一种有效的灵敏度计算策略,用于承受自重载荷的连续体结构的演化结构优化(ESO)

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This work presents a modified version of the evolutionary structural optimization procedure for topology optimization of continuum structures subjected to self-weight forces. Here we present an extension of this procedure to deal with maximum stiffness topology optimization of structures when different combinations of body forces and fixed loads are applied. Body forces depend on the density distribution over the design domain. Therefore, the value and direction of the loading are coupled to the shape of the structure and they change as the material layout of the structure is modified in the course of the optimization process. It will be shown that the traditional calculation of the sensitivity number used in the ESO procedure does not lead to the optimum solution. Therefore, it is necessary to correct the computation of the element sensitivity numbers in order to achieve the optimum design. This paper proposes an original correction factor to compute the sensitivities and enhance the convergence of the algorithm. The procedure has been implemented into a general optimization software and tested in several numerical applications and benchmark examples to illustrate and validate the approach, and satisfactorily applied to the solution of 2D, 3D and shell structures, considering self-weight load conditions. Solutions obtained with this method compare favourably with the results derived using the SIMP interpolation scheme.
机译:这项工作提出了进化结构优化程序的修改版,用于承受自重力的连续体结构的拓扑优化。在这里,我们介绍了此程序的扩展,以在施加不同的车身力和固定载荷组合时处理结构的最大刚度拓扑优化。体力取决于设计域上的密度分布。因此,载荷的值和方向与结构的形状相关,并且它们在优化过程中会随着结构材料布局的改变而变化。结果表明,ESO程序中使用的传统的灵敏度数计算方法并不能得出最佳解决方案。因此,有必要校正元素灵敏度数的计算以获得最佳设计。本文提出了一种原始的校正因子来计算灵敏度并增强算法的收敛性。该程序已实施到通用优化软件中,并在多个数值应用程序和基准示例中进行了测试,以说明和验证该方法,并考虑到自重载荷条件,已令人满意地应用于2D,3D和壳体结构的解决方案。用这种方法获得的解决方案与使用SIMP插值方案得出的结果相比具有优势。

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