利用各向异性梯度网格增强基于水平集的拓扑优化

D. Cortellessa, Nicola Ferro, S. Perotto, S. Micheletti
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引用次数: 1

摘要

本文提出了一种基于最小遵从性要求的拓扑优化轻量化结构设计新算法。由于采用了策略计算网格,新过程在计算效率方面增强了标准水平集公式。我们追求双重目标,即提供具有光滑轮廓和可靠机械性能的最终布局。优化后的结构的平滑性通过采用各向异性适应网格来保证,该网格可以清晰地捕捉材料/空隙界面。优化后结构内部的均匀镶嵌保证了坚固的机械性能。一个彻底的数值研究证实了所提出的算法作为一个可靠的和计算负担得起的设计工具的有效性,无论是在二维和三维环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing level set-based topology optimization with anisotropic graded meshes
We propose a new algorithm for the design of topologically optimized lightweight structures, under a minimum compliance requirement. The new process enhances a standard level set formulation in terms of computational efficiency, thanks to the employment of a strategic computational mesh. We pursue a twofold goal, i.e., to deliver a final layout characterized by a smooth contour and reliable mechanical properties. The smoothness of the optimized structure is ensured by the employment of an anisotropic adapted mesh, which sharply captures the material/void interface. A robust mechanical performance is guaranteed by a uniform tessellation of the internal part of the optimized configuration. A thorough numerical investigation corroborates the effectiveness of the proposed algorithm as a reliable and computationally affordable design tool, both in two- and three-dimensional contexts.
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