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A new augmented immersed finite element method without using SVD interpolations

机译:不使用SVD插值的新的增强型浸入式有限元方法

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Augmented immersed interface methods have been developed recently for interface problems and problems on irregular domains including CFD applications with free boundaries and moving interfaces. In an augmented method, one or several augmented variables are introduced along the interface or boundary so that one can get efficient discretizations. The augmented variables should be chosen such that the interface or boundary conditions are satisfied. The key to the success of the augmented methods often relies on the interpolation scheme to couple the augmented variables with the governing differential equations through the interface or boundary conditions. This has been done using a least squares interpolation (under-determined) for which the singular value decomposition (SVD) is used to solve for the interpolation coefficients. In this paper, based on properties of the finite element method, a new augmented immersed finite element method (IFEM) that does not need the interpolations is proposed for elliptic interface problems that have a piecewise constant coefficient. Thus the new augmented method is more efficient and simple than the old one that uses interpolations. The method then is extended to Poisson equations on irregular domains with a Dirichlet boundary condition. Numerical experiments with arbitrary interfaces/irregular domains and large jump ratios are provided to demonstrate the accuracy and the efficiency of the new augmented methods. Numerical results also show that the number of GMRES iterations is independent of the mesh size and nearly independent of the jump in the coefficient.
机译:最近针对界面问题和不规则域上的问题(包括具有自由边界和移动界面的CFD应用程序)开发了增强型浸入式界面方法。在增强方法中,沿界面或边界引入一个或多个增强变量,以便可以进行有效的离散化。应该选择增加的变量,以便满足界面或边界条件。增强方法成功的关键通常取决于插值方案,以通过界面或边界条件将增强变量与控制微分方程耦合。这是使用最小二乘插值法(未确定)完成的,为此使用奇异值分解(SVD)来求解插值系数。本文基于有限元方法的性质,针对具有分段常数系数的椭圆界面问题,提出了一种新的不需要插值的增强型浸入式有限元方法。因此,新的增强方法比使用插值的旧方法更有效,更简单。然后将该方法扩展到具有Dirichlet边界条件的不规则域上的Poisson方程。提供了具有任意接口/不规则域和大跳跃比的数值实验,以证明新增强方法的准确性和效率。数值结果还表明,GMRES迭代次数与网格大小无关,并且几乎与系数跳跃无关。

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