A Strongly Mass Conservative Method for the Coupled Brinkman-Darcy Flow and Transport

Lina Zhao, Shuyu Sun

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this paper, a strongly mass conservative and stabilizer-free scheme is designed and analyzed for the coupled Brinkman–Darcy flow and transport. The flow equations are discretized by using a strongly mass conservative scheme in mixed formulation with a suitable incorporation of the interface conditions. In particular, the interface conditions can be incorporated into the discrete formulation naturally without introducing additional variables. Moreover, the proposed scheme behaves uniformly robust for various values of viscosity. A novel upwinding staggered discontinuous Galerkin scheme in mixed form is exploited to solve the transport equation, where the boundary correction terms are added to improve the stability. A rigorous convergence analysis is carried out for the approximation of the flow equations. The velocity error is shown to be independent of the pressure and thus confirms the pressure-robustness. Stability and a priori error estimates are also obtained for the approximation of the transport equation; moreover, we are able to achieve sharp stability and convergence error estimates thanks to the strong mass conservation preserved by our scheme. In particular, the stability estimate depends only on the true velocity on the inflow boundary rather than on the approximated velocity. Several numerical experiments are presented to verify the theoretical findings and demonstrate the performances of the method.
Original languageEnglish (US)
Pages (from-to)B166-B199
JournalSIAM Journal on Scientific Computing
Volume45
Issue number2
DOIs
StatePublished - Apr 3 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-04-06
Acknowledged KAUST grant number(s): BAS/1/1351-01, URF/1/3769-01, URF/1/4074-01
Acknowledgements: The research of the first author was supported by a grant from City University of Hong Kong (project no. 7200699). The research of the second author was supported by King Abdullah University of Science and Technology, Saudi Arabia, through grants BAS/1/1351-01, URF/1/4074-01, and URF/1/3769-01.

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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