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Minmax topology optimization

机译:Minmax拓扑优化

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摘要

We describe a systematic approach for the robust optimal design of linear elastic structures subjected to unknown loading using minmax and topology optimization methods. Assuming only the loading region and norm, we distribute a given amount of material in the design domain to minimize the principal compliance, i.e. the maximum compliance that is produced by the worst-case loading scenario. We evaluate the principal compliance directly by satisfying the optimality conditions which take the form of a Steklov eigenvalue problem and thus we eliminate the need of an iterative nested optimization. To generate a well-posed topology optimization problem we use relaxation which requires homogenization theory. Examples are provided to demonstrate our algorithm.
机译:我们描述了一种系统方法,用于使用minmax和拓扑优化方法对承受未知载荷的线性弹性结构进行稳健的优化设计。假定仅加载区域和标准,我们在设计域中分配给定数量的材料以最小化主要合规性,即由最坏情况下的加载场景产生的最大合规性。我们通过满足采用Steklov特征值问题形式的最优条件来直接评估本金合规性,从而消除了迭代嵌套优化的需要。为了产生一个恰当的拓扑优化问题,我们使用弛豫,这需要同质化理论。提供示例来演示我们的算法。

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