TY - JOUR
T1 - A Hermite WENO reconstruction-based discontinuous Galerkin method for the Euler equations on tetrahedral grids
AU - Luo, Hong
AU - Xia, Yidong
AU - Li, Shujie
AU - Nourgaliev, Robert
AU - Cai, Chunpei
N1 - Funding Information:
This manuscript has been authored by Battelle Energy Alliance, LLC under Contract No. DE-AC07-05ID14517 (INL/CON-09-16528) with the U.S. Department of Energy. The United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The authors would like to acknowledge the partial support for this work provided by DOE under Nuclear Engineering University Program, by the NSF under Project No. NSF-DMS0914706. The first author would like to acknowledge the partial support for this work provided by the fundamental research program of DTRA under Grant No. HDTR1-10-1-0.123. Dr. Suhithi Peiris serves as the technical monitor.
PY - 2012/6/20
Y1 - 2012/6/20
N2 - A Hermite WENO reconstruction-based discontinuous Galerkin method RDG(P1P2), designed not only to enhance the accuracy of discontinuous Galerkin method but also to ensure linear stability of the RDG method, is presented for solving the compressible Euler equations on tetrahedral grids. In this RDG(P1P2) method, a quadratic polynomial solution (P2) is first reconstructed using a least-squares method from the underlying linear polynomial (P1) discontinuous Galerkin solution. By taking advantage of handily available and yet invaluable information, namely the derivatives in the DG formulation, the stencils used in the reconstruction involve only von Neumann neighborhood (adjacent face-neighboring cells) and thus are compact and consistent with the underlying DG method. The final quadratic polynomial solution is then obtained using a WENO reconstruction, which is necessary to ensure linear stability of the RDG method. The developed RDG method is used to compute a variety of flow problems on tetrahedral meshes to demonstrate its accuracy, efficiency, robustness, and versatility. The numerical experiments demonstrate that the developed RDG(P1P2) method is able to maintain the linear stability, achieve the designed third-order of accuracy: one order accuracy higher than the underlying DG method without significant increase in computing costs and storage requirements.
AB - A Hermite WENO reconstruction-based discontinuous Galerkin method RDG(P1P2), designed not only to enhance the accuracy of discontinuous Galerkin method but also to ensure linear stability of the RDG method, is presented for solving the compressible Euler equations on tetrahedral grids. In this RDG(P1P2) method, a quadratic polynomial solution (P2) is first reconstructed using a least-squares method from the underlying linear polynomial (P1) discontinuous Galerkin solution. By taking advantage of handily available and yet invaluable information, namely the derivatives in the DG formulation, the stencils used in the reconstruction involve only von Neumann neighborhood (adjacent face-neighboring cells) and thus are compact and consistent with the underlying DG method. The final quadratic polynomial solution is then obtained using a WENO reconstruction, which is necessary to ensure linear stability of the RDG method. The developed RDG method is used to compute a variety of flow problems on tetrahedral meshes to demonstrate its accuracy, efficiency, robustness, and versatility. The numerical experiments demonstrate that the developed RDG(P1P2) method is able to maintain the linear stability, achieve the designed third-order of accuracy: one order accuracy higher than the underlying DG method without significant increase in computing costs and storage requirements.
KW - Compressible Euler equations
KW - Discontinuous Galerkin method
KW - Hermite WENO reconstruction
KW - Tetrahedral grids
UR - https://www.scopus.com/pages/publications/84862252646
U2 - 10.1016/j.jcp.2012.05.011
DO - 10.1016/j.jcp.2012.05.011
M3 - Article
AN - SCOPUS:84862252646
SN - 0021-9991
VL - 231
SP - 5489
EP - 5503
JO - Journal of Computational Physics
JF - Journal of Computational Physics
IS - 16
ER -