A monotone finite-difference high order accuracy scheme for the 2D convection – diffusion equations

Abstract

A stable finite-difference scheme is constructed on a minimum stencil of a uniform mesh for a two-dimensional steady-state convection – diffusion equation of a general form; the scheme is theoretically studied and tested. It satisfies the maximum principle and has the fourth order of approximation. The scheme monotonicity is controlled by two regularization parameters introduced into the difference operator. The scheme is focused on solving applied convection – diffusion problems with a developed boundary layer, including gravitational convection, thermomagnetic convection, and diffusion of particles in a magnetic fluid. The scheme is tested on the well-known problem of a high-intensive gravitational convection in a horizontal channel of a square cross-section with a uniform heating from the side. A detailed comparison is performed with the monotone Samarskii scheme of the second order approximation on the sequences of square meshes with the number of partitions from 10 to 1000 on each side of the square domain and over the entire range of the Rayleigh numbers, corresponding to the laminar convection mode. A significant advantage of the fourth order scheme in the convergence rate is shown for the decreasing mesh step.

Author Biography

Viktor K. Polevikov, Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

PhD (physics and mathematics), docent; associate professor at the department of computational mathematics, faculty of applied mathematics and computer science

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Published
2019-11-27
Keywords: gravitational convection, thermomagnetic convection, diffusion of particles, diffusion-convection equation, scheme of high accuracy, parameters of regularization, monotonicity, test problem
How to Cite
Polevikov, V. K. (2019). A monotone finite-difference high order accuracy scheme for the 2D convection – diffusion equations. Journal of the Belarusian State University. Mathematics and Informatics, 3, 71-83. https://doi.org/10.33581/2520-6508-2019-3-71-83