IMA Journal of Numerical Analysis Advance Access published online on September 7, 2009
IMA Journal of Numerical Analysis, doi:10.1093/imanum/drp006
A discretization of the phase mass balance in fractional step algorithms for the drift-flux model

Institut de Radioprotection et de Sûreté Nucléaire, BP3, 13115 St Paul-lez-Durance cedex, France

Université de Provence, Centre de Mathématiques et Informatique, 39 rue Frédéric Joliot-Curie, 13453 Marseille cedex 13, France

Institut de Radioprotection et de Sûreté Nucléaire, BP3, 13115, St Paul-lez-Durance cedex, France
Email: laura.gastaldo{at}irsn.fr
Corresponding author. Email: herbin{at}cmi.univ-mrs.fr
Email: jean-claude.latche{at}irsn.fr
Received on 16 October 2007. Revised on 1 August 2008.
| Abstract |
|---|
We address in this paper a parabolic equation used to model the phase mass balance in two-phase flows, which differs from the mass balance for chemical species in compressible multicomponent flows by the addition of a nonlinear term of the form
·
(y)ur, where y is the unknown mass fraction,
stands for the density,
is a regular function such that
(0) =
(1) = 0 and ur is a (not necessarily divergence free) velocity field. We propose a finite-volume scheme for the numerical approximation of this equation, with a discretization of the nonlinear term based on monotone flux functions. Under the classical assumption that the discretization of the convection operator must be such that it vanishes for a constant y, we prove the existence and uniqueness of the solution, together with the fact that it remains within its physical bounds, i.e., within the interval [0, 1]. Then this scheme is combined with a pressure correction method to obtain a semi-implicit fractional step scheme for the so-called drift-flux model. To satisfy the above-mentioned assumption a specific time stepping algorithm with particular approximations for the density terms is developed. Numerical tests are performed to assess the convergence and stability properties of this scheme.
Key Words: two-phase flows; drift-flux model; finite-volume methods; monotone schemes