Numerical analysis of a parabolic variational inequality system modeling biofilm growth at the porescale
Azhar Alhammali
Department of Mathematics, Oregon State University, Corvallis, Oregon
Search for more papers by this authorCorresponding Author
Malgorzata Peszynska
Department of Mathematics, Oregon State University, Corvallis, Oregon
Correspondence
Malgorzata Peszynska, Department of Mathematics, Oregon State University, Corvallis, OR.
Email: [email protected]
Search for more papers by this authorAzhar Alhammali
Department of Mathematics, Oregon State University, Corvallis, Oregon
Search for more papers by this authorCorresponding Author
Malgorzata Peszynska
Department of Mathematics, Oregon State University, Corvallis, Oregon
Correspondence
Malgorzata Peszynska, Department of Mathematics, Oregon State University, Corvallis, OR.
Email: [email protected]
Search for more papers by this authorAbstract
In this article, we consider a system of two coupled nonlinear diffusion–reaction partial differential equations (PDEs) which model the growth of biofilm and consumption of the nutrient. At the scale of interest the biofilm density is subject to a pointwise constraint, thus the biofilm PDE is framed as a parabolic variational inequality. We derive rigorous error estimates for a finite element approximation to the coupled nonlinear system and confirm experimentally that the numerical approximation converges at the predicted rate. We also show simulations in which we track the free boundary in the domains which resemble the pore scale geometry and in which we test the different modeling assumptions.
REFERENCES
- 1F. A. MacLeod, H. M. Lappin-Scott, J. W. Costerton, Plugging of a model rock system by using starved bacteria, Appl. Environ. Microbiol. vol. 54 (1988) pp. 1365–1372.
- 2 A. P. Anozie Ebigbo A. Phillips, R. Gerlach, R. Helmig, A. B. Cunningham, H. Class, L. H. Spangler, Darcy-scale modeling of microbially induced carbonate mineral precipitation in sand columns, Water Resour. Res. vol. 48 (2012).
- 3C. Verba, A. R. Thurber, Y. Alleau, D. Koley, F. Colwell, M. E. Torres, Mineral changes in cement-sandstone matrices induced by biocementation, Int. J. Greenhouse Gas Control vol. 49 (2016) pp. 312–322.
- 4 F. S. Colwell et al., “ Feasibility of biogeochemical sealing of wellbore cements: Lab and simulation tests,” in AGU Fall Meeting Abstracts, Americal Geophysical Union, San Francisco, 2014.
- 5M. Peszynska et al., Biofilm growth in porous media: Experiments, computational modeling at the porescale, and upscaling, Adv. Water Resour. vol. 95 (2016) pp. 288–301.
- 6H. J. Eberl, C. Picioreanu, J. J. Heijnen, M. C. Mvan Loosdrecht, A three-dimensional numerical study on the correlation of spatial structure, hydrodynamic conditions, and mass transfer and conversion in biofilms, Chem. Eng. Sci. vol. 55 (2000) pp. 6209–6222.
- 7R. Schulz, N. Ray, F. Frank, H. S. Mahato, P. Knabner, Strong solvability up to clogging of an effective diffusion–precipitation model in an evolving porous medium, European J. Appl. Math. vol. 28 (2017) pp. 179–207.
- 8 T. L. vanNoorden, I. S. Pop, A. Ebigbo, R. Helmig, An upscaled model for biofilm growth in a thin strip, Water Resour. Res. vol. 46 (2010). https://doi.org/10.1029/2009WR008217.
- 9Y. Tang, A. J. Valocchi, C. J. Werth, H. Liu, An improved pore-scale biofilm model and comparison with a microfluidic flow cell experiment, Water Resour. Res. vol. 49 (2013) pp. 8370–8382.
- 10T. Zhang, I. Klapper, Mathematical model of biofilm induced calcite precipitation, Water Sci. Technol. vol. 61 (2010) pp. 2957–2964.
- 11T. B. Costa, K. Kennedy, M. Peszynska, Hybrid three-scale model for evolving pore-scale geometries, Comput. Geosci. vol. 22 (2018) pp. 925–950.
- 12M. F. Wheeler, A priori L2 error estimates for Galerkin approximations to parabolic partial differential equations, SIAM J. Numer. Anal. vol. 10 (1973) pp. 723–759.
- 13V. Thomée, Galerkin Finite Element Methods for Parabolic Problems: Volume 25 of Springer Series in Computational Mathematics, Springer-Verlag, Berlin, 1997.
10.1007/978-3-662-03359-3 Google Scholar
- 14F. Brezzi, W. W. Hager, P.-A. Raviart, Error estimates for the finite element solution of variational inequalities, Numer. Math. vol. 28 (1977) pp. 431–443.
- 15C. M. Elliott, On the finite element approximation of an elliptic variational inequality arising from an implicit time discretization of the Stefan problem, IMA J. Numer. Anal. vol. 1 (1981) pp. 115–125.
- 16C. Baiocchi, “ Discretization of evolution variational inequalities,” in Partial Differential Equations and the Calculus of Variations: Volume 1 of Progress in Nonlinear Differential Equations and Their Applications, Birkhäuser Boston, Boston, MA, 1989, pp. 59–92.
- 17C. Johnson, A convergence estimate for an approximation of a parabolic variational inequality, SIAM J. Numer. Anal. vol. 13 (1976) pp. 599–606.
- 18C. Vuik, An L2-error estimate for an approximation of the solution of a parabolic variational inequality, Numer. Math. vol. 57 (1990) pp. 453–471.
- 19J. W. Barrett, K. Deckelnick, Existence, uniqueness and approximation of a doubly-degenerate nonlinear parabolic system modelling bacterial evolution, Math. Models Methods Appl. Sci. vol. 17 (2007) pp. 1095–1127.
- 20C. Verdi, On the Numerical Approach to a Two-Phase Stefan Problem with Nonlinear Flux: Volume 372 of Istituto di Analisi Numerica del Consiglio Nazionale delle Ricerche [Institute of Numerical Analysis of the National Research Council], Istituto di Analisi Numerica del Consiglio Nazionale delle Ricerche, Pavia, 1984.
- 21R. H. Nochetto, M. Paolini, C. Verdi, “ Self-adaptive mesh modification for parabolic FBPs: Theory and computation,” in Free Boundary Value Problems (OBERWOLFACH, 1989): Volume 95 of International Series of Numerical Mathematics, Birkhäuser, Basel, 1990, pp. 181–206.
10.1007/978-3-0348-7301-7_12 Google Scholar
- 22C. T. Kelley, J. Rulla, Solution of the time discretized Stefan problem by Newton's method, Nonlinear Anal. vol. 14 (1990) pp. 851–872.
- 23R. E. Showalter, Monotone Operators in Banach Space and Nonlinear Partial Differential Equations: Volume 49 of Mathematical Surveys and Monographs, American Mathematical Society, Providence, RI, 1997.
- 24H. Brézis, Problèmes unilatéraux, J. Math. Pures Appl. vol. 51 (1972) pp. 1–168.
- 25M. Ulbrich, Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces: Volume 11 of MOS-SIAM Series on Optimization, Society for Industrial and Applied Mathematics (SIAM)/Mathematical Optimization Society, Philadelphia, PA, 2011.
10.1137/1.9781611970692 Google Scholar
- 26V. Barbu, “ Nonlinear differential equations of monotone types in Banach spaces,” in Springer Monographs in Mathematics, Springer, New York, 2010.
- 27 A. Alhammali, Numerical analysis of a system of parabolic variational inequalities with application to biofilm growth, PhD thesis, Oregon State University, Corvallis, Oregon, 2019.
- 28A. Ern, J.-L. Guermond, Theory and Practice of Finite Elements: Volume 159 of Applied Mathematical Sciences, Springer-Verlag, New York, 2004.
10.1007/978-1-4757-4355-5 Google Scholar
- 29R. Glowinski, “ Numerical methods for nonlinear variational problems,” in Springer Series in Computational Physics, Springer-Verlag, New York, 1984.
10.1007/978-3-662-12613-4 Google Scholar