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author:

Yu, Qiang (Yu, Qiang.) [1] | Turner, Ian (Turner, Ian.) [2] | Liu, Fawang (Liu, Fawang.) [3] | Moroney, Timothy (Moroney, Timothy.) [4]

Indexed by:

EI Scopus SCIE

Abstract:

The distributed-order time fractional diffusion model with Dirichlet nonhomogeneous boundary conditions on a finite domain is considered. Four choices of continuous distribution weight functions with mean mu and standard deviation sigma are investigated to study their impact on both the short-time and long-time solution behavior. An implicit numerical method implemented on a graded mesh is proposed to solve the model and the stability and convergence analysis are presented. Semi-analytic solutions are also derived for these distributions to assess the accuracy of the scheme. Numerical results highlight that the four continuous distribution weight functions produce a short-time solution behavior that is consistent with those solutions from the classical time fractional partial differential equation with fractional order gamma* = mu. There are however long-time differences in the solution behavior that become more distinguishable as sigma increases. In particular, we find a smaller value of sigma produces more diffuse profiles and the diffusion rate slows as sigma increases. Furthermore, the asymptotic behavior of the solution may be influenced by the time-fractional orders ranging between the smallest nonzero weight order and mean mu for the continuous uniform and raised cosine distribution weight functions, respectively. Similar findings are also observed for the truncated normal and beta distributions.

Keyword:

beta distribution continuous uniform distribution distributed-order time fractional diffusion model graded mesh nonhomogeneous boundary conditions raised cosine distribution truncated normal distribution

Community:

  • [ 1 ] [Yu, Qiang]Queensland Univ Technol, Sch Math Sci, GPO Box 2434, Brisbane, Qld 4001, Australia
  • [ 2 ] [Turner, Ian]Queensland Univ Technol, Sch Math Sci, GPO Box 2434, Brisbane, Qld 4001, Australia
  • [ 3 ] [Liu, Fawang]Queensland Univ Technol, Sch Math Sci, GPO Box 2434, Brisbane, Qld 4001, Australia
  • [ 4 ] [Moroney, Timothy]Queensland Univ Technol, Sch Math Sci, GPO Box 2434, Brisbane, Qld 4001, Australia
  • [ 5 ] [Turner, Ian]Queensland Univ Technol, Australian Res Council Ctr Excellence Math & Stat, Brisbane, Qld, Australia
  • [ 6 ] [Liu, Fawang]Fuzhou Univ, Sch Math & Stat, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • [Yu, Qiang]Queensland Univ Technol, Sch Math Sci, GPO Box 2434, Brisbane, Qld 4001, Australia;;

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Source :

NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS

ISSN: 0749-159X

Year: 2022

Issue: 1

Volume: 39

Page: 383-420

3 . 9

JCR@2022

2 . 1 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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