2014
DOI: 10.1007/s10092-014-0130-z
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A posteriori error analysis for Navier–Stokes equations coupled with Darcy problem

Abstract: Our aim in this paper is to study the interaction between surface and subsurface flows. The model considered is a system coupling Navier-Stokes and Darcy equations. We make use of a discontinuous Galerkin finite element method for the discretisation of this problem. Then we develop a posteriori error analysis for the resulting discrete problem. Numerical experimentations confirm our analytical results.

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Cited by 7 publications
(3 citation statements)
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References 12 publications
(15 reference statements)
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“…This is an alternative to [28], where two Cahn-Hilliard equations are solved on Ω m and Ω c separately. The other three interface conditions (2.11)-(2.13) are utilized in the traditional way for the single-phase Navier-Stokes-Darcy model in the literature [40,29,35].…”
Section: The Weak Formulationmentioning
confidence: 99%
“…This is an alternative to [28], where two Cahn-Hilliard equations are solved on Ω m and Ω c separately. The other three interface conditions (2.11)-(2.13) are utilized in the traditional way for the single-phase Navier-Stokes-Darcy model in the literature [40,29,35].…”
Section: The Weak Formulationmentioning
confidence: 99%
“…However, only few works exist for the coupled Navier-Stokes/Darcy problem, see for instance [11,24]. Up to the author's knowledge, the first work dealing with adaptive algorithms for the Navier-Stokes/Darcy coupling is [24], where an a posteriori error estimator for a discontinuous Galerkin approximation of this coupled problem with constant parameters is proposed.…”
Section: Introductionmentioning
confidence: 99%
“…However, only few works exist for the coupled Navier-Stokes/Darcy problem, see for instance [11,24]. Up to the author's knowledge, the first work dealing with adaptive algorithms for the Navier-Stokes/Darcy coupling is [24], where an a posteriori error estimator for a discontinuous Galerkin approximation of this coupled problem with constant parameters is proposed. In [11], the authors have derived a reliable and efficient residual-based a posteriori error estimator for the three dimensional version of the augmented-mixed method introduced in [12].…”
Section: Introductionmentioning
confidence: 99%