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Optimizing structural topology patterns using regularization of Heaviside function

机译:使用Heaviside函数的正则化优化结构拓扑模式

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摘要

This study presents optimizing structural topology patterns using regularization of Heaviside function. The present method needs not filtering process to typical SIMP method. Using the penalty formulation of the SIMP approach, a topology optimization problem is formulated in co-operation, i.e., couple-signals, with design variable values of discrete elements and a regularized Heaviside step function. The regularization of discontinuous material distributions is a key scheme in order to improve the numerical problems of material topology optimization with 0 (void)-1 (solid) solutions. The weak forms of an equilibrium equation are expressed using a coupled regularized Heaviside function to evaluate sensitivity analysis. Numerical results show that the incorporation of the regularized Heaviside function and the SIMP leads to convergent solutions. This method is tested using several examples of a linear elastostatic structure. It demonstrates that improved optimal solutions can be obtained without the additional use of sensitivity filtering to improve the discontinuous 0-1 solutions, which have generally been used in material topology optimization problems.
机译:这项研究提出了使用Heaviside函数的正则化来优化结构拓扑模式的方法。本方法不需要对典型的SIMP方法进行滤波处理。使用SIMP方法的惩罚公式,可以通过协作,即耦合信号,离散元素的设计变量值和正则化的Heaviside阶跃函数来解决拓扑优化问题。不连续材料分布的正则化是一个关键方案,目的是改善使用0(无效)-1(固体)解的材料拓扑优化的数值问题。平衡方程的弱形式使用耦合的正则Heaviside函数表示,以评估灵敏度分析。数值结果表明,将正则化的Heaviside函数与SIMP结合起来可导致收敛解。使用线性弹性静力学结构的几个示例对该方法进行了测试。结果表明,无需额外使用灵敏度过滤来改善不连续的0-1解,就可以获得改进的最优解,而这种方法通常用于材料拓扑优化问题。

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