Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods
Abstract
The Lagrangian finite volume (FV) cell-centered hydrodynamic (CCH) method and the Lagrangian discontinuous Galerkin (DG) CCH method have been demonstrated to be quite stable and capable of producing very accurate solutions on many mesh topologies. However, some challenges can arise with higher-order elements and polygonal elements that have many deformational degrees of freedom. With these types of meshes, elements can deform in unphysical ways and the mesh can tangle. In this study, we present methods for obtaining more robust Lagrangian solutions on polygonal and higher-order elements. The robustness is achieved by (1) incorporating a new iterative method that modifies the velocity reconstructions in the corners of the elements, and (2) a new multidirectional approximate Riemann solver that, when coupled with the iterative method, reduces spurious mesh motion. Lastly, the details of the numerical methods are discussed and their utility is demonstrated on a diverse suite of test problems using higher-order and polygonal elements.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1477650
- Alternate Identifier(s):
- OSTI ID: 1548151
- Report Number(s):
- LA-UR-17-29885
Journal ID: ISSN 0021-9991
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Computational Physics
- Additional Journal Information:
- Journal Volume: 372; Journal Issue: C; Journal ID: ISSN 0021-9991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Lagrangian; Cell-centered hydrodynamics; Discontinuous Galerkin; Mesh robustness; Hourglass model
Citation Formats
Morgan, Nathaniel Ray, Liu, Xiaodong, and Burton, Donald E. Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods. United States: N. p., 2018.
Web. doi:10.1016/j.jcp.2018.06.008.
Morgan, Nathaniel Ray, Liu, Xiaodong, & Burton, Donald E. Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods. United States. https://doi.org/10.1016/j.jcp.2018.06.008
Morgan, Nathaniel Ray, Liu, Xiaodong, and Burton, Donald E. Tue .
"Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods". United States. https://doi.org/10.1016/j.jcp.2018.06.008. https://www.osti.gov/servlets/purl/1477650.
@article{osti_1477650,
title = {Reducing spurious mesh motion in Lagrangian finite volume and discontinuous Galerkin hydrodynamic methods},
author = {Morgan, Nathaniel Ray and Liu, Xiaodong and Burton, Donald E.},
abstractNote = {The Lagrangian finite volume (FV) cell-centered hydrodynamic (CCH) method and the Lagrangian discontinuous Galerkin (DG) CCH method have been demonstrated to be quite stable and capable of producing very accurate solutions on many mesh topologies. However, some challenges can arise with higher-order elements and polygonal elements that have many deformational degrees of freedom. With these types of meshes, elements can deform in unphysical ways and the mesh can tangle. In this study, we present methods for obtaining more robust Lagrangian solutions on polygonal and higher-order elements. The robustness is achieved by (1) incorporating a new iterative method that modifies the velocity reconstructions in the corners of the elements, and (2) a new multidirectional approximate Riemann solver that, when coupled with the iterative method, reduces spurious mesh motion. Lastly, the details of the numerical methods are discussed and their utility is demonstrated on a diverse suite of test problems using higher-order and polygonal elements.},
doi = {10.1016/j.jcp.2018.06.008},
journal = {Journal of Computational Physics},
number = C,
volume = 372,
place = {United States},
year = {Tue Jun 05 00:00:00 EDT 2018},
month = {Tue Jun 05 00:00:00 EDT 2018}
}
Web of Science
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