Lattice Boltzmann method for tempered time-fractional diffusion equation

被引:0
作者
Ren, Junjie [1 ,2 ,3 ]
Song, Jie [1 ]
Lei, Hao [1 ]
机构
[1] Southwest Petr Univ, Sch Sci, Chengdu 610500, Sichuan, Peoples R China
[2] Southwest Petr Univ, Inst Artificial Intelligence, Chengdu 610500, Sichuan, Peoples R China
[3] Southwest Petr Univ, Key Lab Energy Secur & Low Carbon Dev, Chengdu 610500, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
lattice Boltzmann method; tempered fractional calculus; time-fractional diffusion equation; caputo derivative; FINITE-DIFFERENCE METHOD; ELEMENT-METHOD; POROUS-MEDIA; MODEL; SCHEMES; SIMULATION; MEMORY;
D O I
10.1088/1402-4896/ad837e
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Tempered fractional calculus, as an extension of fractional calculus, has been successfully applied in numerous scientific and engineering fields. Although several traditional numerical methods have been improved for solving a variety of tempered fractional partial differential equations, solving these equations by the lattice Boltzmann (LB) method is an unresolved issue. This paper is dedicated to presenting a novel LB method for the tempered time-fractional diffusion equation. The tempered time-fractional diffusion equation is first transformed into an integer-order partial differential equation by approximating the tempered fractional derivative term. Then the LB method is proposed to solve the transformed objective equation. The Chapman-Enskog procedure is conducted to confirm that the present LB method can accurately recover the objective equation. Some numerical examples with an analytical solution are employed to validate the present LB method, and a strong consistency is observed between the numerical and analytical solutions. The numerical simulations indicate that the LB method is a second-order accurate scheme. The proposed LB method presents a new approach to solving the tempered time-fractional diffusion equation, which is beneficial for the widespread application of the tempered time-fractional diffusion equation in addressing complex transport problems.
引用
收藏
页数:26
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