An entropy preserving finite-element/finite-volume pressure correction scheme for the drift-flux model
Laura Gastaldo (LATP, IRSN), Raphaele Herbin (LATP), Jean-Claude, Latch\'e (IRSN)

TL;DR
This paper introduces a stable, entropy-preserving pressure correction scheme for the drift-flux model that combines finite element and finite volume methods, ensuring physical bounds and dissipation properties.
Contribution
The novel scheme integrates finite element and finite volume discretizations with a pressure correction step, guaranteeing stability, physical bounds, and entropy decrease in the drift-flux model.
Findings
The scheme is conservative and maintains physical bounds.
It exhibits near-first-order convergence in numerical tests.
The algorithm ensures stability and dissipation properties.
Abstract
We present in this paper a pressure correction scheme for the drift-flux model combining finite element and finite volume discretizations, which is shown to enjoy essential stability features of the continuous problem: the scheme is conservative, the unknowns are kept within their physical bounds and, in the homogeneous case (i.e. when the drift velocity vanishes), the discrete entropy of the system decreases; in addition, when using for the drift velocity a closure law which takes the form of a Darcy-like relation, the drift term becomes dissipative. Finally, the present algorithm preserves a constant pressure and a constant velocity through moving interfaces between phases. To ensure the stability as well as to obtain this latter property, a key ingredient is to couple the mass balance and the transport equation for the dispersed phase in an original pressure correction step. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Advanced Numerical Methods in Computational Mathematics · Gas Dynamics and Kinetic Theory
