A Solution Strategy for Robust Topology Optimization when the Nominal and Expected Compliance are the Same

A. Csébfalvi, J. Lógó
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Abstract

In this paper, an anomaly resolving strategy is presented for such cases where the nominal and robust compliances are the same in the volume-constrained continuous topology optimization with directionally uncertain loads. In this investigation, the parametric normally and uniformly distributed expected compliance and the non-parametric total-compliance-variance are used as robustness measures. It will be proved by experimental evidence, that in the anomalous cases the result of the nominal-compliance minimization and the results of the minimization of the investigated robust measures form a pareto optimal point, therefore the volume-percentage increasing is the only way of the design robustness improving.
当标称顺应性和期望顺应性相同时鲁棒拓扑优化的解决策略
本文针对具有方向不确定载荷的体积约束连续拓扑优化中标称柔度和鲁棒柔度同时存在的情况,提出了一种异常解决策略。在本研究中,使用参数正态分布和均匀分布的期望顺应性和非参数总顺应性方差作为鲁棒性度量。通过实验证明,在异常情况下,名义柔度最小化的结果和所研究的鲁棒措施的最小化结果形成一个帕累托最优点,因此体积百分比的增加是提高设计鲁棒性的唯一途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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