An asymptotic-preserving multidimensionality-aware finite volume numerical scheme for Euler equations - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2024

An asymptotic-preserving multidimensionality-aware finite volume numerical scheme for Euler equations

Résumé

In the context of the numerical approximation of Euler equations, great efforts have been devoted to developing schemes that can accurately reproduce solutions in low Mach number flows. Solutions of classic Finite Volume (FV) schemes are usually plagued by an excessive diffusion as the numerical scheme is not consistent with the limit equations for the Mach number that tends to zero. Instead, a numerical scheme that satisfies such a property is called Asymptotic-Preserving (AP). In this paper, we propose an AP FV scheme for the multidimensional Euler equations. Contrarily to classic multidimensional FV schemes, our method is not obtained by a dimensional splitting. Instead, we include genuine multidimensional effects by exploiting a particular Riemann Solver (RS). It involves a nodal parameter which depends on all the cells around given node. Such an idea has been exploited by Barsukow et al. (2023) for the linear acoustic equations. Their method performs excellently in the low Mach number regime but its extension to the Euler equations proved to be far from trivial. For such a reason, a change of perspective is needed in the definition of the RS.
Fichier principal
Vignette du fichier
Paper_ICCFD12_DelGrosso.pdf (1.8 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04736912 , version 1 (15-10-2024)

Licence

Identifiants

  • HAL Id : hal-04736912 , version 1

Citer

Alessia Del Grosso, Wasilij Barsukow, Raphaël Loubère, Pierre-Henri Maire. An asymptotic-preserving multidimensionality-aware finite volume numerical scheme for Euler equations. ICCFD12 - International Conference on Computational Fluid Dynamics, Jul 2024, Kobe, Japan. ⟨hal-04736912⟩
34 Consultations
12 Téléchargements

Partager

More