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author:

Chen, Ruige (Chen, Ruige.) [1] | Wei, Xiaoli (Wei, Xiaoli.) [2] | Liu, Fawang (Liu, Fawang.) [3] | Anh, Vo V. (Anh, Vo V..) [4]

Indexed by:

EI Scopus

Abstract:

In this paper, searching for a better chloride ions sub-diffusion system, a multi-term time-fractional derivative diffusion model is proposed for the description of the time-dependent chloride ions penetration in reinforced concrete structures exposed to chloride environments. We prove the stability and convergence of the model. We use the modified grid approximation method (MGAM) to estimate the fractional orders and chloride ions diffusion coefficients in the reinforced concrete for the multi-term time fractional diffusion system. And then to verify the efficiency and accuracy of the proposed methods in dealing with the fractional inverse problem, two numerical examples with real data are investigated. Meanwhile, we use two methods of fixed chloride ions diffusion coefficient and variable diffusion coefficient with diffusion depth to simulate chloride ions sub-diffusion system. The result shows that with the new fractional orders and parameters, our multi-term fractional order chloride ions sub-diffusion system is capable of providing numerical results that agree better with the real data than other models. On the other hand, it is also noticed from the numerical solution of the chloride ions sub-diffusion system that setting the variable diffusion coefficient with diffusion depth is more reasonable. And it is also found that chloride ions diffusion coefficients in reinforced concrete should be decreased with diffusion depth which is completely consistent with the theory. In addition, the model can be used to predict the chloride profiles with a time-dependent property. This article is part of the theme issue 'Advanced materials modelling via fractional calculus: challenges and perspectives'. © 2020 The Author(s).

Keyword:

Calculations Chlorine compounds Concrete construction Diffusion Inverse problems Ions Numerical methods Parameter estimation Reinforced concrete

Community:

  • [ 1 ] [Chen, Ruige]School of Science, China University of Geosciences, Beijing; 100083, China
  • [ 2 ] [Wei, Xiaoli]Sichuan University of Science and Engineering, Sichuan; 643000, China
  • [ 3 ] [Liu, Fawang]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia
  • [ 4 ] [Liu, Fawang]College of Mathematics and Computer Science, Fuzhou University, Fujian; 350116, China
  • [ 5 ] [Anh, Vo V.]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia
  • [ 6 ] [Anh, Vo V.]School of Mathematics and Computational Science, Xiangtan University, Hunan; 411105, China
  • [ 7 ] [Anh, Vo V.]Faculty of Science, Engineering and Technology, Swinburne University of Technology, PO Box 218, Hawthorn; VIC; 3122, Australia

Reprint 's Address:

  • 刘发旺

    [liu, fawang]school of mathematical sciences, queensland university of technology, gpo box 2434, brisbane; qld; 4001, australia;;[liu, fawang]college of mathematics and computer science, fuzhou university, fujian; 350116, china

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Source :

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

ISSN: 1364-503X

Year: 2020

Issue: 2172

Volume: 378

4 . 2 2 6

JCR@2020

4 . 3 0 0

JCR@2023

ESI Discipline: PHYSICS;

ESI HC Threshold:115

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: 1

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