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

Authors

  • Jing Zhao,

    Corresponding author
    1. Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands
    • Correspondence to: Jing Zhao, Delft Institute of Applied Mathematics Delft University of Technology Delft The Netherlands

      E-mail: J.zhao-1@tudelft.nl

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  • Edwin A. H. Vollebregt,

    1. Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands
    2. VORtech BV, Delft, The Netherlands
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  • Cornelis W.  Oosterlee

    1. Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands
    2. CWI—Center for Mathematics and Computer Science, Amsterdam, The Netherlands
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SUMMARY

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. Copyright © 2014 John Wiley & Sons, Ltd.

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