A finite volume method for solving the two-sided time-space fractional advection-dispersion equation


Autoria(s): Hejazi, H.; Moroney, T.J.; Liu, F.
Contribuinte(s)

Chen, Wen

Sun, HongGuang

Baleanu, Dumitru

Data(s)

2012

Resumo

The field of fractional differential equations provides a means for modelling transport processes within complex media which are governed by anomalous transport. Indeed, the application to anomalous transport has been a significant driving force behind the rapid growth and expansion of the literature in the field of fractional calculus. In this paper, we present a finite volume method to solve the time-space two-sided fractional advection dispersion equation on a one-dimensional domain. Such an equation allows modelling different flow regime impacts from either side. The finite volume formulation provides a natural way to handle fractional advection-dispersion equations written in conservative form. The novel spatial discretisation employs fractionally-shifted Gr¨unwald formulas to discretise the Riemann-Liouville fractional derivatives at control volume faces in terms of function values at the nodes, while the L1-algorithm is used to discretise the Caputo time fractional derivative. Results of numerical experiments are presented to demonstrate the effectiveness of the approach.

Identificador

http://eprints.qut.edu.au/51457/

Publicador

Hohai University

Relação

http://em.hhu.edu.cn/fda12/

Hejazi, H., Moroney, T.J., & Liu, F. (2012) A finite volume method for solving the two-sided time-space fractional advection-dispersion equation. In Chen, Wen, Sun, HongGuang, & Baleanu, Dumitru (Eds.) The Proceedings of the 5th Symposium on Fractional Differentiation and Its Applications, Hohai University, Hohai University, Nanjing.

Direitos

Copyright 2012 [please consult the author]

Fonte

School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010000 MATHEMATICAL SCIENCES #two-sided time-space fractional advection-dispersion #fractional Fick’s law #finite volume #finite difference #shifted Gr¨unwald #L1-algorithm
Tipo

Conference Paper