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We present a coupling framework for Stokes-Darcy systems valid for arbitrary flow direction at low Reynolds numbers and for isotropic porous media. The proposed method is based on an overlapping domain decomposition concept to represent the…

数值分析 · 数学 2024-01-24 Marco Discacciati , Paola Gervasio

A discretization method with non-matching grids is proposed for the coupled Stokes-Darcy problem that uses a mortar variable at the interface to couple the marker and cell (MAC) method in the Stokes domain with the Raviart-Thomas mixed…

数值分析 · 数学 2024-02-19 Wietse M. Boon , Dennis Gläser , Rainer Helmig , Kilian Weishaupt , Ivan Yotov

In this paper, we propose a new numerical scheme for the coupled Stokes-Darcy model with Beavers-Joseph-Saffman interface condition. We use the weak Galerkin method to discretize the Stokes equation and the mixed finite element method to…

数值分析 · 数学 2021-03-02 Hui Peng , Qilong Zhai , Ran Zhang , Shangyou Zhang

In this article we present a goal-oriented adaptive finite element method for a class of subsurface flow problems in porous media, which exhibit seepage faces. We focus on a representative case of the steady state flows governed by a…

数值分析 · 数学 2021-01-12 Ben Ashby , Cassiano Bortolozo , Alex Lukyanov , Tristan Pryer

In this paper we devise and analyze a mixed finite element method for a modified Cahn-Hilliard equation coupled with a non-steady Darcy-Stokes flow that models phase separation and coupled fluid flow in immiscible binary fluids and diblock…

数值分析 · 数学 2013-12-24 Amanda E. Diegel , Xiaobing H. Feng , Steven M. Wise

Flow in fractured porous media represents a challenge for discretization methods due to the disparate scales and complex geometry. Herein we propose a new discretization, based on the mixed finite element method and mortar methods. Our…

数值分析 · 数学 2017-07-18 Wietse M. Boon , Jan M. Nordbotten , Ivan Yotov

Stokes flows are a type of fluid flow where convective forces are small in comparison with viscous forces, and momentum transport is entirely due to viscous diffusion. Besides being routinely used as benchmark test cases in numerical fluid…

数值分析 · 数学 2021-12-16 Andrea Cioncolini , Daniele Boffi

This work analyzes a fully discrete mixed finite element method in a Banach space framework for solving nonstationary coupled fluid flow problems modeled by the Brinkman-Forchheimer equations, with applications to reverse osmosis. The model…

数值分析 · 数学 2025-07-08 Zeinab Gharibi , Mostafa Abbaszadeh , Mehdi Dehghan

We define a finite element method for the coupling of Stokes and nonlinear Poisson--Boltzmann equations. The novelty in the formulation is that the coupling from the electric potential to the drag in the momentum balance is rewritten as a…

数值分析 · 数学 2026-03-11 Abeer F. AlSohaim , Ricardo Ruiz-Baier , Segundo Villa-Fuentes

In this article, we analyse a stabilised equal-order finite element approximation for the Stokes equations on anisotropic meshes. In particular, we allow arbitrary anisotropies in a sub-domain, for example along the boundary of the domain,…

数值分析 · 数学 2018-10-12 Stefan Frei

We introduce a new discretization of a mixed formulation of the incompressible Stokes equations that includes symmetric viscous stresses. The method is built upon a mass conserving mixed formulation that we recently studied. The improvement…

数值分析 · 数学 2024-12-20 Jay Gopalakrishnan , Philip L. Lederer , Joachim Schöberl

We investigate a mortar technique for mixed finite element approximations of Darcy flow on non-matching grids in which the normal flux is chosen as the coupling variable. It plays the role of a Lagrange multiplier to impose weakly…

数值分析 · 数学 2020-08-24 Wietse M. Boon , Dennis Gläser , Rainer Helmig , Ivan Yotov

In this paper, we introduce a mortar-based approach to discretizing flow in fractured porous media, which we term the mixed-dimensional flux coupling scheme. Our formulation is agnostic to the discretizations used to discretize the fluid…

数值分析 · 数学 2019-08-01 Jan M. Nordbotten , Wietse M. Boon , Alessio Fumagalli , Eirik Keilegavlen

In the present work, we propose to extend to the Stokes problem a fictitious domain approach inspired by eXtended Finite Element Method and studied for Poisson problem in [Renard]. The method allows computations in domains whose boundaries…

数值分析 · 数学 2015-06-15 Sébastien Court , Michel Fournié , Alexei Lozinski

This work introduces a stabilised finite element formulation for the Stokes flow problem with a nonlinear slip boundary condition of friction type. The boundary condition is enforced with the help of an additional Lagrange multiplier and…

数值分析 · 数学 2024-05-21 Tom Gustafsson , Juha Videman

The Stokes equations play an important role in the incompressible flow simulation. In this paper, a novel divergence-free parametric mixed finite element method is proposed for solving three-dimensional Stokes equations on domains with…

数值分析 · 数学 2025-12-19 Lingxiao Li , Haiyan Su , He Zhang , Weiying Zheng

This paper presents an a posteriori error analysis for a coupled continuum pipe-flow/Darcy model in karst aquifers. We consider a unified anisotropic finite element discretization (i.e. elements with very large aspect ratio). Our analysis…

数值分析 · 数学 2017-11-07 Koffi Wilfrid Houedanou

We propose a mixed finite element method for Stokes flow with one degree of freedom per element and facet of simplicial grids. The method is derived by considering the vorticity-velocity-pressure formulation and eliminating the vorticity…

数值分析 · 数学 2022-08-30 Wietse M. Boon , Alessio Fumagalli

We study a fictitious domain approach with Lagrange multipliers to discretize Stokes equations on a mesh that does not fit the boundaries. A mixed finite element method is used for fluid flow. Several stabilization terms are added to…

数值分析 · 数学 2017-10-24 Michel Fournié , Alexei Lozinski

The flux-mortar mixed finite element method was recently developed for a general class of domain decomposition saddle point problems on non-matching grids. In this work we develop the method for Darcy flow using the multipoint flux…

数值分析 · 数学 2023-01-18 Wietse M. Boon , Dennis Gläser , Rainer Helmig , Ivan Yotov