Issue |
ESAIM: M2AN
Volume 52, Number 6, November-December 2018
|
|
---|---|---|
Page(s) | 2187 - 2213 | |
DOI | https://doi.org/10.1051/m2an/2018053 | |
Published online | 01 February 2019 |
Research Article
A time dependent Stokes interface problem: well-posedness and space-time finite element discretization
Institut für Geometrie und Praktische Mathematik, RWTH-Aachen University, 52056 Aachen, Germany
* Corresponding author: voulis@igpm.rwth-aachen.de
Received:
16
March
2018
Accepted:
14
September
2018
In this paper a time dependent Stokes problem that is motivated by a standard sharp interface model for the fluid dynamics of two-phase flows is studied. This Stokes interface problem has discontinuous density and viscosity coefficients and a pressure solution that is discontinuous across an evolving interface. This strongly simplified two-phase Stokes equation is considered to be a good model problem for the development and analysis of finite element discretization methods for two-phase flow problems. In view of the unfitted finite element methods that are often used for two-phase flow simulations, we are particularly interested in a well-posed variational formulation of this Stokes interface problem in a Euclidean setting. Such well-posed weak formulations, which are not known in the literature, are the main results of this paper. Different variants are considered, namely one with suitable spaces of divergence free functions, a discrete-in-time version of it, and variants in which the divergence free constraint in the solution space is treated by a pressure Lagrange multiplier. The discrete-in-time variational formulation involving the pressure variable for the divergence free constraint is a natural starting point for a space-time finite element discretization. Such a method is introduced and results of numerical experiments with this method are presented.
Mathematics Subject Classification: 76M10 / 76T10 / 76D07
Key words: Two-phase Stokes equations / space-time variational saddle point formulation / well-posed operator equation / XFEM / DG
© EDP Sciences, SMAI 2019
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