4.7 Article

A new FV scheme and fast cell-centered multigrid solver for 3D anisotropic diffusion equations with discontinuous coefficients

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 449, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2021.110794

Keywords

Diffusion equation; Discontinuous coefficients; Anisotropic coefficients; Richardson extrapolation; Finite volume method; Cell-centered multigrid method

Funding

  1. National Natural Science Foundation of China [41874086, 12071128, 11971069]
  2. Science Challenge Project [TZ2016002]
  3. Fundamental Research Funds for the Central Universities of Central South University [2020zzts354]
  4. Natural Science Foundation of Hunan Province [2021JJ30434]

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This paper introduces a new extrapolation cascadic multigrid method for solving 3D anisotropic diffusion equations, avoiding the costly solution of local linear systems and demonstrating its efficiency and robustness.
In this paper, an efficient cell-centered extrapolation cascadic multigrid (CEXCMG) method is proposed for solving large linear system of equations resulting from finite volume (FV) discretizations of three dimensional (3D) anisotropic diffusion equations with discontinuous coefficients. For cell-centered FV schemes, the values at vertex need to be approximated often by a linear combination of neighboring cell-centered values. In the literature, the weighted coefficients are obtained by solving local linear system of equations which is costly in 3D. One of the novelties of this paper is a new approach for obtaining vertex values by interpolating the cell-centered ones, which avoids solving local linear system of equations even with arbitrary diffusion tensors. Another main novelty of this paper is a new cascadic multigrid solver based on a prolongation operator, the newly developed explicit gradient transfer method, and a splitting extrapolation operator for solving 3D anisotropic diffusion equations with discontinuous coefficients. Numerical experiments are presented to demonstrate the efficiency and robustness of the CEXCMG method in terms of the mesh size and the contrast in the coefficients of the anisotropic diffusion tensor. (C) 2021 Elsevier Inc. All rights reserved.

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