2008
DOI: 10.1142/s0218202508003303
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Discretization of an Unsteady Flow Through a Porous Solid Modeled by Darcy's Equations

Abstract: The system of unsteady Darcy's equations considered here models the time-dependent flow of an incompressible fluid such as water in a rigid porous medium. We propose a discretization of this problem that relies on a backward Euler's scheme for the time variable and finite elements for the space variables. We prove a priori error estimates that justify the optimal convergence properties of the discretization and a posteriori error estimates that allow for an efficient adaptivity strategy both for the time steps… Show more

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Cited by 13 publications
(12 citation statements)
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“…To obtain an element of ker B h , we need to add an appropriate function to it. Similar idea has been applied, for example, to study unsteady Darcy flows in porous media [5]. Here we present a modified proof to fit in the trace-free pseudostress-velocity formulation.…”
Section: Error Estimatesmentioning
confidence: 97%
“…To obtain an element of ker B h , we need to add an appropriate function to it. Similar idea has been applied, for example, to study unsteady Darcy flows in porous media [5]. Here we present a modified proof to fit in the trace-free pseudostress-velocity formulation.…”
Section: Error Estimatesmentioning
confidence: 97%
“…We refer to [6,Thm. 2.4], for the detailed proof of the next result, since it is a direct consequence of the Cauchy-Lipschitz theorem and the separability of V(Ω).…”
Section: Corollary 24 For Any Datamentioning
confidence: 99%
“…Under mild regularity assumptions on the data b and g, several authors have proven that it has a unique weak solution, see for instance [15]. We propose to solve it numerically with a finite-element method previously used by [29] for the discretization of a convection-diffusion equation in mixed form [7]: discontinuous constant elements for the velocity u h and discontinuous P 1 Crouzeix-Raviart elements for the pressure p h (cf. [12]),…”
Section: The Problem Its Discrete Scheme and Decoupling Algorithmmentioning
confidence: 99%