On the automatic construction of interface coupling operators for non-matching meshes by optimization methods

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

Abstract

We propose a novel optimization technique for the automatic construction of interface operators for coupling non-matching 3D meshes. The core of the method lies in the use of localized Lagrange multipliers and least-squares approximation to find the optimal location of additional interface nodes, allowing the problem to be solved without modifying the meshes of the coupled subdomains and passing the patch test. Although many techniques exist in the literature for coupling incompatible meshes, such as the widely accepted Mortar method, which solves the problem exactly, the proposed method brings two crucial advantages: first, it eliminates the need to compute complex surface integrals on the intersection of the boundary meshes (thanks to the use of techniques adapted from the existing method of localized Lagrange multipliers); and second, and more importantly, we achieve this passing the patch test with comparable accuracy to Mortar. The efficiency and accuracy of the proposed coupling technique is demonstrated by comparing its results with other coupling methods and by solving various theoretical and practical examples with exact and experimental solutions in statics and dynamics.

论用优化方法自动构建非匹配网格的界面耦合算子
我们提出了一种新颖的优化技术,用于自动构建用于耦合非匹配三维网格的接口算子。该方法的核心在于使用局部拉格朗日乘法器和最小二乘近似来找到附加界面节点的最佳位置,从而在不修改耦合子域网格的情况下解决该问题,并通过补丁测试。虽然文献中存在许多不兼容网格耦合技术,如广为接受的 Mortar 方法,它能精确地解决问题,但本文提出的方法有两个关键优势:首先,它无需计算边界网格交点上的复杂曲面积分(这得益于使用了从现有的局部拉格朗日乘法器方法改编而来的技术);其次,更重要的是,我们实现了通过补丁测试,精度与 Mortar 相当。通过与其他耦合方法的结果比较,以及利用静力学和动力学中的精确解和实验解求解各种理论和实际示例,证明了所提出的耦合技术的效率和准确性。
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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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