A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems

Wakeni MF, Aggarwal A, Kaczmarczyk Ł, McBride AT, Athanasiadis I, Pearce CJ, Steinmann P (2022)


Publication Type: Journal article

Publication year: 2022

Journal

DOI: 10.1002/nme.6967

Abstract

A new class of implicit-explicit (IMEX) methods combined with a (Formula presented.) -adaptive mixed finite element formulation is proposed to simulate the diffusion of reacting species. Hierarchical polynomial functions are used to construct a conforming base for the flux vectors, and a non-conforming base for the mass concentration of the species. The mixed formulation captures the distinct nonlinearities associated with the flux constitutive equations and the reaction terms. The IMEX method conveniently treats these two sources of nonlinearity implicitly and explicitly, respectively, within a single time-stepping framework. A reliable a posteriori error estimate is proposed and analyzed. A (Formula presented.) -adaptive algorithm based on the proposed a posteriori error estimate is also constructed. The combination of the proposed residual-based a posteriori error estimate and hierarchical finite element spaces allows for the formulation of an efficient (Formula presented.) -adaptive algorithm. A series of numerical examples demonstrate the performance of the approach for problems involving travelling waves, and possessing discontinuities and singularities. The flexibility of the formulation is illustrated via selected applications in pattern formation and electrophysiology.

Involved external institutions

How to cite

APA:

Wakeni, M.F., Aggarwal, A., Kaczmarczyk, Ł., McBride, A.T., Athanasiadis, I., Pearce, C.J., & Steinmann, P. (2022). A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems. International Journal for Numerical Methods in Engineering. https://dx.doi.org/10.1002/nme.6967

MLA:

Wakeni, Mebratu F., et al. "A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems." International Journal for Numerical Methods in Engineering (2022).

BibTeX: Download