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一种用于浸入边界/界面方法的自适应网格细化策略。

An Adaptive Mesh Refinement Strategy for Immersed Boundary/Interface Methods.

作者信息

Li Zhilin, Song Peng

机构信息

Center for Research in Scientific Computation & Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA; and Nanjing Normal University, China.

出版信息

Commun Comput Phys. 2012;12(2):515-527. doi: 10.4208/cicp.070211.150811s. Epub 2012 Feb 20.

Abstract

An adaptive mesh refinement strategy is proposed in this paper for the Immersed Boundary and Immersed Interface methods for two-dimensional elliptic interface problems involving singular sources. The interface is represented by the zero level set of a Lipschitz function φ(x,y). Our adaptive mesh refinement is done within a small tube of |φ(x,y)|≤ δ with finer Cartesian meshes. The discrete linear system of equations is solved by a multigrid solver. The AMR methods could obtain solutions with accuracy that is similar to those on a uniform fine grid by distributing the mesh more economically, therefore, reduce the size of the linear system of the equations. Numerical examples presented show the efficiency of the grid refinement strategy.

摘要

本文针对涉及奇异源的二维椭圆型界面问题的浸入边界法和浸入界面法,提出了一种自适应网格细化策略。界面由Lipschitz函数φ(x,y)的零水平集表示。我们的自适应网格细化是在|φ(x,y)|≤δ的小管内用更精细的笛卡尔网格完成的。离散线性方程组由多重网格求解器求解。AMR方法通过更经济地分布网格,可以获得与均匀细网格上相似精度的解,从而减小线性方程组的规模。给出的数值例子表明了网格细化策略的有效性。

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