Robust trimmed multipatch IGA with singular maps

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Tobias Jonsson, Mats G. Larson, Karl Larsson
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引用次数: 0

Abstract

We consider elliptic problems in multipatch isogeometric analysis (IGA) where the patch parameterizations may be singular. Specifically, we address cases where certain dimensions of the parametric geometry diminish as the singularity is approached — for example, a curve collapsing into a point (in 2D), or a surface collapsing into a point or a curve (in 3D). To deal with this issue, we develop a robust weak formulation for the second-order Laplace equation that allows trimmed (cut) elements, enforces interface and Dirichlet conditions weakly, and does not depend on specially constructed approximation spaces. Our technique for dealing with the singular maps is based on the regularization of the Riemannian metric tensor, and we detail how to implement this robustly. We investigate the method’s behavior when applied to a square-to-cusp parameterization that allows us to vary the singular behavior’s aggressiveness in how quickly the measure tends to zero when the singularity is approached. We propose a scaling of the regularization parameter to obtain optimal order approximation. Our numerical experiments indicate that the method is robust also for quite aggressive singular parameterizations.
具有奇异映射的鲁棒裁剪多补丁IGA
研究了多斑块等几何分析(IGA)中的椭圆型问题,其中斑块参数化可能是奇异的。具体地说,我们解决了当奇点接近时参数几何的某些维度减少的情况-例如,曲线坍缩成一个点(在2D中),或者曲面坍缩成一个点或曲线(在3D中)。为了处理这个问题,我们开发了一个二阶拉普拉斯方程的鲁棒弱公式,它允许裁剪(切割)元素,弱地执行界面和狄利克雷条件,并且不依赖于特殊构造的近似空间。我们处理奇异映射的技术是基于黎曼度量张量的正则化,我们详细说明了如何鲁棒地实现它。我们研究了该方法在应用于平方到尖参数化时的行为,该参数化允许我们改变奇异行为的侵略性,即当奇异点接近时,测量趋于零的速度。我们提出了正则化参数的缩放来获得最优阶近似。我们的数值实验表明,该方法对于相当激进的奇异参数化也具有鲁棒性。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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