论文标题
高阶界面和内部层问题的两个网格有限差异方法
High order two-grid finite difference methods for interface and internal layer problems
论文作者
论文摘要
二阶准确的笛卡尔网格方法已经为文献中的界面问题做出了很好的开发。但是,对于弯曲接口和内部边界问题的问题,开发第三或更高阶的准确方法是一项挑战。在本文中,开发了一些基于两个不同网格的替代方法,用于某些界面和内部层问题,这与自适应网格细化(AMR)技术不同。对于平行于轴之一的直接接口或边界层的一维或二维问题,讨论相对容易。挑战之一是如何在连接两个网眼的寄宿网点上构建第四阶紧凑型有限差异方案。提出了一种两网格的方法,该方法在罚款网格的接口附近采用二阶离散化,并提出了远离界面的第四阶离散化和寄宿机网格点的离散化。对于曲面接口或内部图层的二维问题,使用级别集表示,我们可以在管子$ |φ({\ bf x})中构建细网格|界面的\leΔH$。一个新的超级三分七点离散化,可以保证在悬挂节点上开发了离散最大原则。本文开发的有限差方程的系数矩阵是M-矩阵,这导致有限差方案的收敛性。本文提出的非平凡数值示例已经证实了所需的准确性和收敛性。
Second order accurate Cartesian grid methods have been well developed for interface problems in the literature. However, it is challenging to develop third or higher order accurate methods for problems with curved interfaces and internal boundaries. In this paper, alternative approaches based on two different grids are developed for some interface and internal layer problems, which are different from adaptive mesh refinement (AMR) techniques. For one dimensional, or two-dimensional problems with straight interfaces or boundary layers that are parallel to one of the axes, the discussion is relatively easy. One of challenges is how to construct a fourth order compact finite difference scheme at boarder grid points that connect two meshes. A two-grid method that employs a second order discretization near the interface in the fine mesh and a fourth order discretization away from the interface in the coarse and boarder grid points is proposed. For two dimensional problems with a curved interface or an internal layer, a level set representation is utilized for which we can build a fine mesh within a tube $|φ({\bf x}) | \le δh$ of the interface. A new super-third seven-point discretization that can guarantee the discrete maximum principle has been developed at hanging nodes. The coefficient matrices of the finite difference equations developed in this paper are M-matrices, which leads to the convergence of the finite difference schemes. Non-trivial numerical examples presented in this paper have confirmed the desired accuracy and convergence.