Fast and robust sixth-order multigrid computation for the three-dimensional convectiondiffusion equation

Yin Wang, Jun Zhang

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We present a sixth-order explicit compact finite difference scheme to solve the three-dimensional (3D) convectiondiffusion equation. We first use a multiscale multigrid method to solve the linear systems arising from a 19-point fourth-order discretization scheme to compute the fourth-order solutions on both a coarse grid and a fine grid. Then an operator-based interpolation scheme combined with an extrapolation technique is used to approximate the sixth-order accurate solution on the fine grid. Since the multigrid method using a standard point relaxation smoother may fail to achieve the optimal grid-independent convergence rate for solving convectiondiffusion equations with a high Reynolds number, we implement the plane relaxation smoother in the multigrid solver to achieve better grid independency. Supporting numerical results are presented to demonstrate the efficiency and accuracy of the sixth-order compact (SOC) scheme, compared with the previously published fourth-order compact (FOC) scheme.

Original languageEnglish
Pages (from-to)3496-3506
Number of pages11
JournalJournal of Computational and Applied Mathematics
Volume234
Issue number12
DOIs
StatePublished - Oct 15 2010

Keywords

  • Convectiondiffusion equation
  • Multigrid method
  • Reynolds number
  • Richardson extrapolation
  • Sixth-order compact scheme

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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