A Novel B-Spline Method for Modeling Transport Problems in Anisotropic Inhomogeneous Media

A Novel B-Spline Method for Modeling Transport Problems in Anisotropic Inhomogeneous Media

Year:    2021

Author:    Sergiy Reutskiy, Ji Lin, Bin Zheng, Jiyou Tong

Advances in Applied Mathematics and Mechanics, Vol. 13 (2021), Iss. 3 : pp. 590–618

Abstract

In this paper, we present a new semi-analytical method based on the B-spline approximation for solving 2D time-dependent convection-diffusion-reaction equations to model transfer in the anisotropic inhomogeneous medium. The mathematical model is expressed as the initial-boundary value problem for quasi-linear parabolic equation with the second order elliptic spatial operator with mixed derivatives and variable coefficients. The time-stepping Crank-Nicolson scheme transforms the original equation into a sequence of quasi-linear elliptic partial differential equations. The approximate solution is sought as series over basis functions which are taken in the form of the tensor products of the  B-splines with centers distributed inside the solution domain. Due to the modification of spline basis, the final approximate solution satisfies the boundary conditions of the initial problem with any choice of the coefficients of the series. The numerical examples demonstrate the high accuracy of the proposed method in solving 2D convection-diffusion-reaction problems in single- and multi-connected domains.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2020-0052

Advances in Applied Mathematics and Mechanics, Vol. 13 (2021), Iss. 3 : pp. 590–618

Published online:    2021-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    29

Keywords:    Convection-diffusion-reaction equation anisotropic media Crank-Nicolson scheme B-spline semi-analytical method.

Author Details

Sergiy Reutskiy

Ji Lin

Bin Zheng

Jiyou Tong