Preserving mesh quality in shape optimization

PAMM Pub Date : 2023-12-30 DOI:10.1002/pamm.202300146
Sofiya Onyshkevych, Martin Siebenborn, W. Wollner
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Abstract

In PDE‐constrained shape optimization, a lot of computational effort is used to update the geometry at every iteration step. This iterative process can result in loss of element quality and degeneracy of the underlying mesh, which is particularly relevant for applications involving large deformations of some parts of the domain. To avoid remeshing, we model the mesh deformation using the method of mappings. We use an extension equation that maps a boundary control variable to a deformation field defined over the entire domain. By using the nonlinear extension operator proposed in our previous work, we increase the set of reachable shapes, allowing us to model large deformations. We discuss how the choice of parameters of the extension equations affects the mesh quality and we study the influence of the extension factor on the convergence properties of the iterative solvers.
在形状优化中保持网格质量
在 PDE 受限形状优化中,每迭代一步都需要耗费大量计算来更新几何图形。这种迭代过程可能会导致元素质量的损失和底层网格的退化,这与涉及域的某些部分发生大变形的应用尤其相关。为了避免重网格化,我们使用映射法建立网格变形模型。我们使用一个扩展方程,将边界控制变量映射到定义在整个域上的变形场。通过使用之前工作中提出的非线性扩展算子,我们增加了可达到的形状集,从而可以对大变形进行建模。我们讨论了扩展方程参数的选择如何影响网格质量,并研究了扩展因子对迭代求解器收敛特性的影响。
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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