Lattice Boltzmann Method for Stochastic Convection-Diffusion Equations

被引:2
|
作者
Zhao, Weifeng [1 ]
Huang, Juntao [2 ]
Yong, Wen-An [3 ,4 ]
机构
[1] Univ Sci & Technol Beijing, Dept Appl Math, Beijing 100083, Peoples R China
[2] Michigan State Univ, Dept Math, E Lansing, MI 48824 USA
[3] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
[4] Tsinghua Univ, Zhou Pei Yuan Ctr Appl Math, Beijing 100084, Peoples R China
来源
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION | 2021年 / 9卷 / 02期
基金
中国国家自然科学基金;
关键词
stochastic convection-diffusion equations; stochastic Galerkin method; lattice Boltzmann method; weighted L-2-stability; complex boundaries; BOUNDARY-CONDITIONS; ADVECTION-DIFFUSION; TRANSPORT-EQUATIONS; POLYNOMIAL CHAOS; GALERKIN METHODS; UNCERTAINTY; MODEL; FLUID; PERMEABILITY; SIMULATIONS;
D O I
10.1137/19M1270665
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we propose a lattice Boltzmann method (LBM) for stochastic convection-diffusion equations (CDEs). The stochastic Galerkin method is employed to transform the stochastic CDE into a system of deterministic CDEs and the LBM is then used to discretize the deterministic CDEs. The consistency of the method is shown with the Maxwell iteration. Thanks to the property that the diffusion coefficient matrix of the deterministic CDEs is positive definite, we prove the weighted L-2-stability of the LBM. With this stability, the convergence of the method can be directly established. Numerical experiments are conducted to verify the accuracy of the LBM and demonstrate its effectiveness for stochastic CDEs. The numerical results not only are in good agreement with those existing in the literature but also show the ability of the LBM for stochastic problems with complex boundaries.
引用
收藏
页码:536 / 563
页数:28
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