A Cell-Centered Lagrangian Scheme for Two-Dimensional Compressible Flow Problems - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles SIAM Journal on Scientific Computing Year : 2007

A Cell-Centered Lagrangian Scheme for Two-Dimensional Compressible Flow Problems

Abstract

We present a new Lagrangian cell-centered scheme for two-dimensional compressible flows. The primary variables in this new scheme are cell-centered, i.e., density, momentum and total energy are defined by their mean values in the cells. The vertex velocities and the numerical fluxes through the cell interfaces are not computed independently contrary to standard approaches but are evaluated in a consistent manner due to an original solver located at the nodes. The main new features of the algorithm is the introduction of four pressures on each edge, two for each node on each side of the edge. This extra degree of freedom, allows us to construct a nodal solver which fulfills two properties. First, the conservation of momentum and total energy is ensured. Second, a semi-discrete entropy inequality is provided. In the case of a one-dimensional flow, the solver reduces to the classical Godunov acoustic solver: it can be considered as its two-dimensional generalization. Many numerical tests are presented. They are representative test cases for compressible flows and demonstrate the robustness and the accuracy of this new solver.
Fichier principal
Vignette du fichier
hydlagplan_gb.pdf (1.38 Mo) Télécharger le fichier

Dates and versions

inria-00113542 , version 1 (14-11-2006)

Identifiers

Cite

Rémi Abgrall, Jérôme Breil, P.H. Maire, Jean Ovadia. A Cell-Centered Lagrangian Scheme for Two-Dimensional Compressible Flow Problems. SIAM Journal on Scientific Computing, 2007, A Cell-Centered Lagrangian Scheme for Two-Dimensional Compressible Flow Problems, 29 (4), pp.1781-1824. ⟨10.1137/050633019⟩. ⟨inria-00113542⟩
5933 View
1627 Download

Altmetric

Share

Gmail Facebook X LinkedIn More