Uncoupling Techniques for Multispecies Diffusion-Reaction Model

被引:3
作者
Vasilyeva, Maria [1 ]
Stepanov, Sergei [2 ]
Sadovski, Alexey [1 ]
Henry, Stephen [1 ]
机构
[1] Texas A&M Univ Corpus Christi, Dept Math & Stat, Corpus Christi, TX 78412 USA
[2] North Eastern Fed Univ, Lab Computat Technol Modeling Multiphys & Multisca, Yakutsk 677980, Russia
关键词
multispecies diffusion-reaction model; spatial-temporal models; explicit-implicit scheme; operator-splitting method; uncoupling techniques; NEWTON-KRYLOV METHODS; TRANSPORT; SCHEMES;
D O I
10.3390/computation11080153
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We consider the multispecies model described by a coupled system of diffusion-reaction equations, where the coupling and nonlinearity are given in the reaction part. We construct a semi-discrete form using a finite volume approximation by space. The fully implicit scheme is used for approximation by time, which leads to solving the coupled nonlinear system of equations at each time step. This paper presents two uncoupling techniques based on the explicit-implicit scheme and the operator-splitting method. In the explicit-implicit scheme, we take the concentration of one species in coupling term from the previous time layer to obtain a linear uncoupled system of equations. The second approach is based on the operator-splitting technique, where we first solve uncoupled equations with the diffusion operator and then solve the equations with the local reaction operator. The stability estimates are derived for both proposed uncoupling schemes. We present a numerical investigation for the uncoupling techniques with varying time step sizes and different scales of the diffusion coefficient.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] A multispecies, multifluid model for laser-induced counterstreaming plasma simulations
    Ghosh, D.
    Chapman, T. D.
    Berger, R. L.
    Dimits, A.
    Banks, J. W.
    [J]. COMPUTERS & FLUIDS, 2019, 186 : 38 - 57
  • [42] Application of a multicomponent model of convectional reaction-diffusion to description of glucose gradients in a neurovascular unit
    Nartsissov, Yaroslav R.
    [J]. FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [43] Numerical approximation of oscillating Turing patterns in a reaction-diffusion model for electrochemical material growth
    Sgura, Ivonne
    Bozzini, Benedetto
    Lacitignola, Deborah
    [J]. 9TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES (ICNPAA 2012), 2012, 1493 : 896 - 903
  • [44] Implicit-Explicit Methods for a Convection-Diffusion-Reaction Model of the Propagation of Forest Fires
    Buerger, Raimund
    Gavilan, Elvis
    Inzunza, Daniel
    Mulet, Pep
    Villada, Luis Miguel
    [J]. MATHEMATICS, 2020, 8 (06)
  • [45] Upscaling of the advection-diffusion-reaction equation with Monod reaction
    Hesse, F.
    Radu, F. A.
    Thullner, M.
    Attinger, S.
    [J]. ADVANCES IN WATER RESOURCES, 2009, 32 (08) : 1336 - 1351
  • [46] Reaction Spreading in Systems With Anomalous Diffusion
    Cecconi, F.
    Vergni, D.
    Vulpiani, A.
    [J]. MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2016, 11 (03) : 107 - 127
  • [47] On diffusion, dispersion and reaction in porous media
    Valdes-Parada, F. J.
    Aguilar-Madera, C. G.
    Alvarez-Ramirez, J.
    [J]. CHEMICAL ENGINEERING SCIENCE, 2011, 66 (10) : 2177 - 2190
  • [48] Reaction-diffusion in viscoelastic materials
    Ferreira, J. A.
    de Oliveira, P.
    Silva, P. M.
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2012, 236 (15) : 3783 - 3795
  • [49] An Operator Splitting Method for the Advection Diffusion Reaction Equation for Problems in Porous Flow
    Chapwanya, M.
    Lubuma, J. M-S.
    [J]. 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013, PTS 1 AND 2 (ICNAAM 2013), 2013, 1558 : 253 - 256