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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]

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EI

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 μ and standard deviation σ 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 γ* = μ. There are however long-time differences in the solution behavior that become more distinguishable as σ increases. In particular, we find a smaller value of σ produces more diffuse profiles and the diffusion rate slows as σ 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 μ for the continuous uniform and raised cosine distribution weight functions, respectively. Similar findings are also observed for the truncated normal and beta distributions. © 2022 Wiley Periodicals LLC.

Keyword:

Boundary conditions Convergence of numerical methods Diffusion Distribution functions Mesh generation Normal distribution

Community:

  • [ 1 ] [Yu, Qiang]School of Mathematical Sciences, Queensland University of Technology, Brisbane; QLD, Australia
  • [ 2 ] [Turner, Ian]School of Mathematical Sciences, Queensland University of Technology, Brisbane; QLD, Australia
  • [ 3 ] [Turner, Ian]Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology, Brisbane; QLD, Australia
  • [ 4 ] [Liu, Fawang]School of Mathematical Sciences, Queensland University of Technology, Brisbane; QLD, Australia
  • [ 5 ] [Liu, Fawang]School of Mathematics and Statistics, Fuzhou University, Fujian, Fuzhou, China
  • [ 6 ] [Moroney, Timothy]School of Mathematical Sciences, Queensland University of Technology, Brisbane; QLD, Australia

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Source :

Numerical Methods for Partial Differential Equations

ISSN: 0749-159X

Year: 2023

Issue: 1

Volume: 39

Page: 383-420

2 . 1

JCR@2023

2 . 1 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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