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Article Dans Une Revue Journal of Computational Physics Année : 2016

A two-dimensional Riemann solver with self-similar sub-structure – Alternative formulation based on least squares projection

Résumé

Just as the quality of a one-dimensional approximate Riemann solver is improved by the inclusion of internal sub-structure, the quality of a multidimensional Riemann solver is also similarly improved. Such multidimensional Riemann problems arise when multiple states come together at the vertex of a mesh. The interaction of the resulting one-dimensional Riemann problems gives rise to a strongly-interacting state. We wish to endow this strongly-interacting state with physically-motivated sub-structure. The self-similar formulation of Balsara [16] proves especially useful for this purpose. While that work is based on a Galerkin projection, in this paper we present an analogous self-similar formulation that is based on a different interpretation. In the present formulation, we interpret the shock jumps at the boundary of the strongly-interacting state quite literally. The enforcement of the shock jump conditions is done with a least squares projection (Vides, Nkonga and Audit [67]). With that interpretation, we again show that the multidimensional Riemann solver can be endowed with sub-structure. However, we find that the most efficient implementation arises when we use a flux vector splitting and a least squares projection. An alternative formulation that is based on the full characteristic matrices is also presented. The multidimensional Riemann solvers that are demonstrated here use one-dimensional HLLC Riemann solvers as building blocks.
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Dates et versions

hal-01254231 , version 1 (11-01-2023)

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Dinshaw S. Balsara, Jeaniffer Vides, Katharine Gurski, Boniface Nkonga, Michael Dumbser, et al.. A two-dimensional Riemann solver with self-similar sub-structure – Alternative formulation based on least squares projection. Journal of Computational Physics, 2016, 304, pp.138-161. ⟨10.1016/j.jcp.2015.10.013⟩. ⟨hal-01254231⟩
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