• Title of article

    A reconstructed discontinuous Galerkin method for the compressible Navier–Stokes equations on arbitrary grids

  • Author/Authors

    Luo، نويسنده , , Hong and Luo، نويسنده , , Luqing and Nourgaliev، نويسنده , , Robert and Mousseau، نويسنده , , Vincent A. and Dinh، نويسنده , , Nam، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    18
  • From page
    6961
  • To page
    6978
  • Abstract
    A reconstruction-based discontinuous Galerkin (RDG) method is presented for the solution of the compressible Navier–Stokes equations on arbitrary grids. The RDG method, originally developed for the compressible Euler equations, is extended to discretize viscous and heat fluxes in the Navier–Stokes equations using a so-called inter-cell reconstruction, where a smooth solution is locally reconstructed using a least-squares method from the underlying discontinuous DG solution. Similar to the recovery-based DG (rDG) methods, this reconstructed DG method eliminates the introduction of ad hoc penalty or coupling terms commonly found in traditional DG methods. Unlike rDG methods, this RDG method does not need to judiciously choose a proper form of a recovered polynomial, thus is simple, flexible, and robust, and can be used on arbitrary grids. The developed RDG method is used to compute a variety of flow problems on arbitrary meshes to demonstrate its accuracy, efficiency, robustness, and versatility. The numerical results indicate that this RDG method is able to deliver the same accuracy as the well-known Bassi–Rebay II scheme, at a half of its computing costs for the discretization of the viscous fluxes in the Navier–Stokes equations, clearly demonstrating its superior performance over the existing DG methods for solving the compressible Navier–Stokes equations.
  • Keywords
    reconstruction schemes , discontinuous Galerkin methods , Compressible Navier–Stokes equations
  • Journal title
    Journal of Computational Physics
  • Serial Year
    2010
  • Journal title
    Journal of Computational Physics
  • Record number

    1482673