Published August 2018 | Version v1
Journal article

A positivity-preserving high order discontinuous Galerkin scheme for convection–diffusion equations

  • 1. School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave., West Lafayette, IN 47907-2045 (United States)
  • 2. Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, IN 47907-2067 (United States)

Description

For constructing high order accurate positivity-preserving schemes for convection–diffusion equations, we construct a simple positivity-preserving diffusion flux. Discontinuous Galerkin (DG) schemes with such a positivity-preserving diffusion flux are nonlinear schemes, which can be regarded as a reduction of the high order positivity-preserving DG schemes for compressible Navier–Stokes equations in [1] to scalar diffusion operators. In this paper we focus on the local DG method to discuss how to apply such a flux. A limiter on the auxiliary variable for approximating the gradient of the solution must be used so that the diffusion flux is positivity-preserving in the sense that DG schemes with this flux satisfies a weak positivity property. Together with a positivity-preserving limiter, high order DG schemes with strong stability preserving time discretizations can be rendered positivity-preserving without losing conservation or high order accuracy for convection–diffusion problems with periodic boundary conditions or a special class of Dirichlet or Neumann boundary conditions. Numerical tests on a few parabolic equations and an application to modeling electrical discharges are shown to demonstrate the performance of this scheme.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2018.04.002

Additional details

Identifiers

DOI
10.1016/j.jcp.2018.04.002;
PII
S0021999118302158;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
366
Journal Page Range
p. 120-143
ISSN
0021-9991
CODEN
JCTPAH

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.