2020
DOI: 10.1063/1.5126306
|View full text |Cite
|
Sign up to set email alerts
|

Gaussian Lattice Boltzmann method and its applications to rarefied flows

Abstract: A novel discretization approach for the Bhatnager-Gross-Krook (BGK) kinetic equation is proposed. A hierarchy of LB models starting from D1Q3 model with increasing number of velocities converging to BGK model is derived. The method inherits properties of the Lattice Boltzmann (LB) method like linear streaming step, conservation of moments. Similar to the finite-difference methods for the BGK model the presented approach describes high-order moments of the distribution function with controllable error. The Sod … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(7 citation statements)
references
References 85 publications
0
7
0
Order By: Relevance
“…The lattice Boltzmann method (LBM) has been recognized as a powerful mesoscopic numerical method and alternative technique to macroscopic numerical approaches for simulation of different complex fluid flow, heat, and transfer problems. [50][51][52][53][54][55][56][57][58] The main benefits of LBM are the nature of the parallel algorithm, the simple and straightforward programming and implementation, and strong ability for complex geometries. In contrast to the common macroscopic numerical methods (e.g., the finite element method) which discretizes continuum equations, LBM utilizes mesoscopic kinetic equations which satisfy the macroscopic averaged properties.…”
Section: The Numerical Methodsmentioning
confidence: 99%
“…The lattice Boltzmann method (LBM) has been recognized as a powerful mesoscopic numerical method and alternative technique to macroscopic numerical approaches for simulation of different complex fluid flow, heat, and transfer problems. [50][51][52][53][54][55][56][57][58] The main benefits of LBM are the nature of the parallel algorithm, the simple and straightforward programming and implementation, and strong ability for complex geometries. In contrast to the common macroscopic numerical methods (e.g., the finite element method) which discretizes continuum equations, LBM utilizes mesoscopic kinetic equations which satisfy the macroscopic averaged properties.…”
Section: The Numerical Methodsmentioning
confidence: 99%
“…In the applications, the discretization of these equations in the velocity (and physical) space is usually performed. One of the most popular discretization approaches is the Lattice-Boltzmann (LB) method [2][3][4][5] which was initially developed as an alternative to the continuum fluid methods like Navier-Stokes equations [6]; furthermore, the method has been extended to the rarefied flows modeling [7][8][9][10][11][12][13][14][15][16][17][18][19]. The conventional LB model has the following form…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the computational time and cost is significantly lower than for macroscopic methods, which makes it attractive in various fields, especially heat and fluid flow problems. [30][31][32][33][34][35][36][37][38][39] Xuan and Yao 40 developed and introduced an LBM for simulating nanofluids by considering a series of acting forces including one which represented the Brownian motion. However, the model did not include the Thermophoresis and Brownian terms in the energy equation.…”
Section: Introductionmentioning
confidence: 99%