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Multidimensional Staggered Grid Residual Distribution Scheme for Lagrangian Hydrodynamics

Abgrall, Rémi; Lipnikov, Konstantin; Morgan, Nathaniel; Tokareva, Svetlana (2020). Multidimensional Staggered Grid Residual Distribution Scheme for Lagrangian Hydrodynamics. SIAM Journal on Scientific Computing, 42(1):A343-A370.

Abstract

We present the second-order multidimensional staggered grid hydrodynamics residual distribution (SGH RD) scheme for Lagrangian hydrodynamics. The SGH RD scheme is based on the staggered finite element discretizations as in [V. A. Dobrev, T. V.Kolev, and R. N. Rieben, SIAM J. Sci. Comput. 34 (2012), pp. B606--B641]. However, the advantage of the residual formulation over classical FEM approaches consists in the natural mass matrix diagonalization which allows one to avoid the solution of the linear system with the global sparse mass matrix while retaining the desired order of accuracy. This is achieved by using Bernstein polynomials as finite element shape functions and coupling the space discretization with the deferred correction type timestepping method. Moreover, it can be shown that for the Lagrangian formulation written in nonconservative form, our RD scheme ensures the exact conservation of the mass, momentum, and total energy. In this paper, we also discuss construction of numerical viscosity approximations for the SGH RD scheme, allowing us to reduce the dissipation of the numerical solution. Thanks to the generic formulation of the staggered grid RD scheme, it can be directly applied to both single- and multimaterial and multiphase models. Finally, we demonstrate computational results obtained with the proposed RD scheme for several challenging test problems.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > Computational Mathematics
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Applied Mathematics, Computational Mathematics
Language:English
Date:1 January 2020
Deposited On:06 May 2020 12:24
Last Modified:23 Jan 2025 02:37
Publisher:Society for Industrial and Applied Mathematics
ISSN:1064-8275
Additional Information:Copyright © [2020], Society for Industrial and Applied Mathematics
OA Status:Green
Publisher DOI:https://doi.org/10.1137/18m1223939
Project Information:
  • Funder: SNSF
  • Grant ID: 200021_153604
  • Project Title: High fidelity simulation for compressible material
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