有效和准确的可分离模型用于分离材料优化:基于拓衍生物的连续视角
Peter Gangl1,2, Nico Nees2, Michael Stingl2
1Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, Altenberger Straße 69, Linz, 4040 Austria.
概括
本研究引入了用于多材料设计优化的新型可分离近似方法. 两种新型号展示了高精度和高效的评估,避免了低于最佳的设计选择.
科学领域:
- 工程 工程师 工程师 工程师
- 计算科学 计算科学
- 应用数学 应用数学 应用数学
背景情况:
- 多材料设计优化问题通常通过使用更简单的子问题来代地解决.
- 凸分离的第一阶近似是传统的和有效的,导致像移动异位数方法 (MMA) 这样的工具.
研究的目的:
- 引入和评估用于多材料设计优化的新可分离近似方法.
- 评估这些新型模型的准确性和计算效率.
- 探索不同数学概念衍生的模型之间的关系.
主要方法:
- 开发基于谢尔曼-莫里森-伍德伯里矩阵认同和拓导数的新可分离近似.
- 分析模型准确性和评估速度.
- 进行数值实验以验证拟议的模型.
主要成果:
- 两种拟议的模型在数值实验中表现出高精度.
- 在线数据预计算后,可以对这些模型进行高效的评估.
- 这项研究揭示了不同数学起源的模型之间的令人惊的联系.
结论:
- 新的可分离近似为多材料设计优化提供了准确和高效的解决方案.
- 这些模型可以防止低于最佳的设计决策.
- 这些发现突出了将矩阵身份和拓导数结合起来进行优化的潜力.
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