On a vorticity-based formulation for reaction-diffusion-Brinkman systems

  • Received: 01 May 2017 Revised: 01 November 2017
  • Primary: 65M60, 35K57; Secondary: 35Q35, 76S05

  • We are interested in modelling the interaction of bacteria and certain nutrient concentration within a porous medium admitting viscous flow. The governing equations in primal-mixed form consist of an advection-reaction-diffusion system representing the bacteria-chemical mass exchange, coupled to the Brinkman problem written in terms of fluid vorticity, velocity and pressure, and describing the flow patterns driven by an external source depending on the local distribution of the chemical species. A priori stability bounds are derived for the uncoupled problems, and the solvability of the full system is analysed using a fixed-point approach. We introduce a primal-mixed finite element method to numerically solve the model equations, employing a primal scheme with piecewise linear approximation of the reaction-diffusion unknowns, while the discrete flow problem uses a mixed approach based on Raviart-Thomas elements for velocity, Nédélec elements for vorticity, and piecewise constant pressure approximations. In particular, this choice produces exactly divergence-free velocity approximations. We establish existence of discrete solutions and show their convergence to the weak solution of the continuous coupled problem. Finally, we report several numerical experiments illustrating the behaviour of the proposed scheme.

    Citation: Verónica Anaya, Mostafa Bendahmane, David Mora, Ricardo Ruiz Baier. 2018: On a vorticity-based formulation for reaction-diffusion-Brinkman systems, Networks and Heterogeneous Media, 13(1): 69-94. doi: 10.3934/nhm.2018004

    Related Papers:

  • We are interested in modelling the interaction of bacteria and certain nutrient concentration within a porous medium admitting viscous flow. The governing equations in primal-mixed form consist of an advection-reaction-diffusion system representing the bacteria-chemical mass exchange, coupled to the Brinkman problem written in terms of fluid vorticity, velocity and pressure, and describing the flow patterns driven by an external source depending on the local distribution of the chemical species. A priori stability bounds are derived for the uncoupled problems, and the solvability of the full system is analysed using a fixed-point approach. We introduce a primal-mixed finite element method to numerically solve the model equations, employing a primal scheme with piecewise linear approximation of the reaction-diffusion unknowns, while the discrete flow problem uses a mixed approach based on Raviart-Thomas elements for velocity, Nédélec elements for vorticity, and piecewise constant pressure approximations. In particular, this choice produces exactly divergence-free velocity approximations. We establish existence of discrete solutions and show their convergence to the weak solution of the continuous coupled problem. Finally, we report several numerical experiments illustrating the behaviour of the proposed scheme.



    加载中
    [1] Analysis of a model for precipitation and dissolution coupled with a Darcy flux. J. Math. Anal. Appl. (2015) 431: 752-781.
    [2] Numerical analysis of reaction front propagation model under Boussinesq approximation. Math. Meth. Appl. Sci. (2003) 26: 1529-1572.
    [3] An augmented velocity-vorticity-pressure formulation for the Brinkman equations. Int. J. Numer. Methods Fluids (2015) 79: 109-137.
    [4] A priori and a posteriori error analysis of a fully-mixed scheme for the Brinkman problem. Numer. Math. (2016) 133: 781-817.
    [5] Stabilized mixed approximation of axisymmetric Brinkman flows. ESAIM: Math. Model. Numer. Anal. (2015) 49: 855-874.
    [6] Pure vorticity formulation and Galerkin discretization for the Brinkman equations. IMA J. Numer. Anal. (2017) 37: 2020-2041.
    [7] On the domain of validity of Brinkman's equation. Transp. Porous Med. (2009) 79: 215-223.
    [8] Finite element approximation of the transport of reactive solutes in porous media. Part Ⅱ: error estimates for equilibrium adsorption processes. SIAM J. Numer. Anal. (1997) 34: 455-479.
    [9] Controlled release with finite dissolution rate. SIAM J. Appl. Math. (2011) 71: 731-752.
    [10]

    H. Brezis, Analyse Fonctionnelle. Théorie et Applications, Masson, Paris, 1983.

    [11] A coupled anisotropic chemotaxis-fluid model: The case of two-sidedly degenerate diffusion. Comput. Math. Appl. (2014) 68: 1052-1070.
    [12] A surface phase field model for two-phase biological membranes. SIAM J. Appl. Math. (2010) 70: 2904-2928.
    [13]

    A. Ern and V. Giovangigli, Multicomponent Transport Algorithms, vol. 24 of Lecture Notes in Physics, New Series Monographs, Springer-Verlag, Heidelberg, 1994.

    [14] Guermond and L. Quartapelle, Vorticity-velocity formulations of the Stokes problem in 3D. Math. Methods Appl. Sci. (1999) 22: 531-546.
    [15] Modelling polymeric controlled drug release and transport phenomena in the arterial tissue. Math. Models Methods Appl. Sci. (2010) 20: 1759-1786.
    [16] Convective diffusion on an enzyme reaction. SIAM J. Appl. Math. (1977) 33: 289-297.
    [17]

    G. N. Gatica, A Simple Introduction to the Mixed Finite Element Method. Theory and Applications, Springer Briefs in Mathematics, Springer, Cham Heidelberg New York Dordrecht London, 2014.

    [18] Minimal model for signal-induced $\mathrm{Ca}^{2+}$ oscillations and for their frequency encoding through protein phosphorylation. Proc. Natl. Acad. Sci. USA (1990) 87: 1461-1465.
    [19] Uniformly stable discontinuous Galerkin discretization and robust iterative solution methods for the Brinkman problem. SIAM J. Numer. Anal. (2016) 54: 2750-2774.
    [20] Convergence analysis for a conformal discretization of a model for precipitation and dissolution in porous media. Numer. Math. (2014) 127: 715-749.
    [21] Systems of partial differential equations in porous medium. Nonl. Anal. (2016) 133: 79-101.
    [22]

    O. A. Ladyženskaja, V. A. Solonnikov and N. N. Ural'ceva, Linear and Quasi-linear Equations of Parabolic Type, American Mathematical Society, 1988.

    [23] Numerical investigation of falling bacterial plumes caused by bioconvection in a three-dimensional chamber. Eur. J. Mech. B/Fluids (2015) 52: 120-130.
    [24] Partitioned coupling of advection-diffusion-reaction systems and Brinkman flows. J. Comput. Phys. (2017) 344: 281-302.
    [25] Error estimates for discrete-time approximations of nonlinear cross-diffusion systems. SIAM J. Numer. Anal. (2014) 52: 955-974.
    [26] Adaptive numerical simulation of intracellular calcium dynamics using domain decomposition methods. Appl. Numer. Math. (2008) 58: 1658-1674.
    [27] Newton method for reactive solute transport with equilibrium sorption in porous media. J. Comput. and Appl. Math. (2010) 234: 2118-2127.
    [28] Primal-mixed formulations for reaction-diffusion systems on deforming domains. J. Comput. Phys. (2015) 299: 320-338.
    [29] Mathematical modeling of active contraction in isolated cardiomyocytes. Math. Medicine Biol. (2014) 31: 259-283.
    [30] Mixed finite element -discontinuous finite volume element discretization of a general class of multicontinuum models. J. Comput. Phys. (2016) 322: 666-688.
    [31] A combined finite volume-nonconforming finite element scheme for compressible two phase flow in porous media. Numer. Math. (2015) 129: 691-722.
    [32] An inexact Newton method for fully coupled solution of the Navier-Stokes equations with heat and mass transport. J. Comput. Phys. (1997) 137: 155-185.
    [33] Compact sets in the space $L^p(0,T;B)$ . Ann. Mat. Pura Appl. (4) (1987) 146: 65-96.
    [34] A robust and efficient linearization scheme for doubly nonlinear and degenerate parabolic problems arising in flow in porous media. SIAM J. Sci. Comput. (2002) 23: 1593-1614.
    [35] Coupling remeshed particle and phase field methods for the simulation of reaction-diffusion on the surface and the interior of deforming geometries. SIAM J. Sci. Comput. (2013) 35: B1285-B1303.
    [36]

    R. Temam, Navier-Stokes Equations. Theory and Numerical Analysis, Reedition in the AMS-Chelsea Series, AMS, Providence, 2001.

    [37]

    V. Thomée, Galerkin Finite Element Methods for Parabolic Problems, 2nd edition, Springer-Verlag, Berlin Heidelberg, 2006.

    [38] An integrated formulation of anisotropic force-calcium relations driving spatio-temporal contractions of cardiac myocytes. Phil. Trans. Royal Soc. London A (2009) 367: 4887-4905.
  • Reader Comments
  • © 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(6603) PDF downloads(519) Cited by(12)

Article outline

Figures and Tables

Figures(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog