A Simple Lattice Boltzmann Scheme for Navier-Stokes Fluid Flow

1991 ◽  
Vol 15 (6) ◽  
pp. 603-607 ◽  
Author(s):  
J. M. V. A Koelman
2008 ◽  
Vol 55 (7) ◽  
pp. 1424-1432 ◽  
Author(s):  
Sheng Chen ◽  
Zhaohui Liu ◽  
Zhiwei Tian ◽  
Baochang Shi ◽  
Chuguang Zheng

2006 ◽  
Vol 49 (6) ◽  
pp. 714-726
Author(s):  
Sheng Chen ◽  
Zhaohui Liu ◽  
Chao Zhang ◽  
Zhu He ◽  
Zhiwei Tian ◽  
...  

2021 ◽  
Vol 143 (5) ◽  
Author(s):  
Anirudh Jonnalagadda ◽  
Atul Sharma ◽  
Amit Agrawal

Abstract In this paper, we incorporate a nonequilibrium thermodynamics perspective that is consistent with the Onsager reciprocity principle into the lattice Boltzmann framework to propose a novel regularized lattice Boltzmann formulation for modeling the Navier–Stokes–Fourier equations. The new method is applied to one-dimensional (1D) isothermal situations wherein the advantages of incorporating such a nonequilibrium perspective can be explicitly appreciated. In such situations, the nonequilibrium contribution of the lattice populations obtained by the new method completely vanishes, and the lattice update is entirely reduced to evaluating the equilibrium distribution function. Such a counterintuitive 1D mesoscopic description is not obtained in any other existing lattice Boltzmann scheme. We therefore numerically test the proposed formulation on two complex problems, namely, shockwave and nonlinear wave propagation, and compare results with analytical results along with six existing lattice Boltzmann schemes; it is found that the new method indeed yields results that are more stable and accurate. These results highlight the potency of the nonequilibrium thermodynamics-based approach for obtaining accurate and stable lattice Boltzmann computations, and provide new insights into established lattice Boltzmann simulation methods.


1995 ◽  
Vol 41 (139) ◽  
pp. 634-640
Author(s):  
David B. Bahr ◽  
John B. Rundle

AbstractA lattice Boltzmann technique for modeling Navier–Stokes fluid flow is extended to allow steady-state simulations of glaciers and other slow-flowing solids. The technique is based on a statistical mechanical representation of flowing ice as a set of particles (populations) which translate and collide on a face-centered cubic lattice. The average trajectories of the populations give the velocities of the ice at any point in the glacier. The method has considerable advantages over other techniques, including its ability to handle complex realistic geometries without additional complications to the code Examples are presented for two-dimensional simulations.


2019 ◽  
Vol 78 (4) ◽  
pp. 1053-1075 ◽  
Author(s):  
Lian-Ping Wang ◽  
Haoda Min ◽  
Cheng Peng ◽  
Nicholas Geneva ◽  
Zhaoli Guo

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