An augmented mixed-primal finite element method for a coupled flow-transport problem

Details

Serval ID
serval:BIB_AA7C32A28F9E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An augmented mixed-primal finite element method for a coupled flow-transport problem
Journal
ESAIM: Mathematical Modelling and Numerical Analysis
Author(s)
Alvarez Mario, Gatica Gabriel N., Ruiz-Baier Ricardo
ISSN
0764-583X
1290-3841
ISSN-L
0764-583X
Publication state
Published
Issued date
09/2015
Peer-reviewed
Oui
Volume
49
Number
5
Pages
1399-1427
Language
english
Abstract
This paper deals with the analysis of a new augmented mixed finite element method in terms of vorticity, velocity, and pressure, for the Brinkman problem with nonstandard boundary conditions. The approach is based on the introduction of Galerkin least-squares terms arising from the constitutive equation relating the aforementioned unknowns and from the incompressibility condition. We show that the resulting augmented bilinear form is continuous and elliptic, which, thanks to the Lax–Milgram theorem, and besides proving the well-posedness of the continuous formulation, ensures the solvability and stability of the Galerkin scheme with any finite element subspace of the continuous space. In particular, Raviart–Thomas elements of any order urn:x-wiley:fld:media:fld4041:fld4041-math-0001 for the velocity field, and piecewise continuous polynomials of degree k + 1 for both the vorticity and the pressure, can be utilized. A priori error estimates and the corresponding rates of convergence are also given here. Next, we derive two reliable and efficient residual-based a posteriori error estimators for this problem. The ellipticity of the bilinear form together with the local approximation properties of the Clément interpolation operator are the main tools for showing the reliability. In turn, inverse inequalities and the localization technique based on triangle-bubble and edge-bubble functions are utilized to show the efficiency. Finally, several numerical results illustrating the good performance of the method, confirming the properties of the estimators and showing the behavior of the associated adaptive algorithms, are reported.
Keywords
Applied Mathematics, Modeling and Simulation, Numerical Analysis, Analysis, Computational Mathematics
Web of science
Create date
24/03/2015 11:06
Last modification date
17/03/2023 7:50
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