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Multigrid with FFT smoother for a simplified 2D frictional contact problem

机译:带FFT平滑器的Multigrid简化了2D摩擦接触问题

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This paper aims to develop a fast multigrid (MG) solver for a Fredholm integral equation of the first kind, arising from the 2D elastic frictional contact problem. After discretization on a rectangular contact area, the integral equation gives rise to a linear system with the coefficient matrix being dense, symmetric positive definite and Toeplitz. A so-called fast Fourier transform (FFT) smoother is proposed. This is based on a preconditioner M that approximates the inverse of the original coefficient matrix, and that is determined using the FFT technique. The iterates are then updated by Richardson iteration:adding the current residuals preconditioned with the Toeplitz preconditioner M. The FFT smoother significantly reduces most components of the error but enlarges several smooth components. This causes divergence of the MG method. Two approaches are studied to remedy this feature:subdomain deflation (SD) and row sum modification (RSM). MG with the FFT + RSM smoother appears to be more efficient than using the FFT + SD smoother. Moreover, the FFT + RSM smoother can be applied as an efficient iterative solver itself. The two methods related to RSM also show rapid convergence in a test with a wavy surface, where the Toeplitz structure is lost.
机译:本文旨在针对二维弹性摩擦接触问题,为第一类Fredholm积分方程开发快速多网格(MG)求解器。在矩形接触区域上离散化之后,积分方程将生成一个线性系统,系数矩阵为致密,对称正定和托普利兹。提出了所谓的快速傅立叶变换(FFT)平滑器。这基于预处理器M,该预处理器M近似原始系数矩阵的逆,并且使用FFT技术确定。然后通过Richardson迭代更新这些迭代:添加使用Toeplitz预处理器M进行预处理的当前残差。FFT平滑器显着减少了大多数误差分量,但增大了多个平滑分量。这导致MG方法的分歧。研究了两种方法来补救此功能:子域缩小(SD)和行总和修改(RSM)。使用FFT + RSM平滑器的MG似乎比使用FFT + SD平滑器的效率更高。此外,FFT + RSM平滑器本身可以用作有效的迭代求解器。与RSM相关的两种方法在波浪形表面的测试中也显示出快速收敛的效果,其中波浪形结构丢失了。

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