z-logo
Premium
Analysis of the HDG method for the stokes–darcy coupling
Author(s) -
Gatica Gabriel N.,
Sequeira Filánder A.
Publication year - 2017
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.22128
Subject(s) - discontinuous galerkin method , mathematics , superconvergence , darcy's law , trace (psycholinguistics) , partial differential equation , sobolev space , stokes flow , conservation of mass , coupling (piping) , flow (mathematics) , porous medium , mathematical analysis , finite element method , geometry , porosity , mechanics , physics , linguistics , philosophy , geotechnical engineering , engineering , thermodynamics , mechanical engineering
In this article, we introduce and analyze a hybridizable discontinuous Galerkin (HDG) method for numerically solving the coupling of fluid flow with porous media flow. Flows are governed by the Stokes and Darcy equations, respectively, and the corresponding transmission conditions are given by mass conservation, balance of normal forces, and the Beavers‐Joseph‐Saffman law. We consider a fully‐mixed formulation in which the main unknowns in the fluid are given by the stress, the vorticity, the velocity, and the trace of the velocity, whereas the velocity, the pressure, and the trace of the pressure are the unknowns in the porous medium. In addition, a suitable enrichment of the finite dimensional subspace for the stress yields optimally convergent approximations for all unknowns, as well as a superconvergent approximation of the trace variables. To do that, similarly as in previous articles dealing with development of the a priori error estimates, we use the projection‐based error analysis to simplify the corresponding study. Finally, we provide several numerical results illustrating the good performance of the proposed scheme and confirming the optimal order of convergence provided by the HDG approximation. © 2017 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 33: 885–917, 2017

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here