Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jcp.2005.11.019
Title: A splitting moving mesh method for reaction-diffusion equations of quenching type
Authors: Liang, K.
Lin, P. 
Ong, M.T.
Tan, R.C.E. 
Keywords: ADI monotonicity
Moving mesh method
Nonlinear reaction-diffusion equations
Parallelization
Peaceman-Rachford splitting
Quenching singularity
Issue Date: 1-Jul-2006
Source: Liang, K., Lin, P., Ong, M.T., Tan, R.C.E. (2006-07-01). A splitting moving mesh method for reaction-diffusion equations of quenching type. Journal of Computational Physics 215 (2) : 757-777. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jcp.2005.11.019
Abstract: This paper studies the numerical solution of multi-dimensional nonlinear degenerate reaction-diffusion differential equations with a singular force term over a rectangular domain. The equations may generate strong quenching singularities. Our work focuses on a variable temporal step Peaceman-Rachford splitting method with an adaptive moving mesh in space. The temporal and spatial adaptation is implemented based on arc-length type of estimations of the time derivative of the solution since the time derivative of the solution approaches infinity when the quenching occurs. The multi-dimensional problem is split into a few one-dimensional problems and the splitting procedure can also be parallelized so that the computational time is significantly reduced. The physical monotonicity of the solution and stability of this variable step moving mesh scheme are analyzed for the time away from the quenching. As stability analysis may not be valid when it is very close to the quenching, thus an exact linear problem is introduced to justify the stability near the quenching time. Finally we provide some numerical examples to illustrate our results as well as to demonstrate the viability and efficiency of the method for the quenching problem or other problems with point singularities. We will also show the significant reduction in computational time required with parallel implementation of the algorithm on a computer with multi-CPU. © 2005 Elsevier Inc. All rights reserved.
Source Title: Journal of Computational Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/102766
ISSN: 00219991
DOI: 10.1016/j.jcp.2005.11.019
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