Numerical investigation of four-lid-driven cavity flow bifurcation using the multiple-relaxation-time lattice Boltzmann method

Isoparametric transformation was applied to the interpolation-supplemented lattice Boltzmann method (ISLBM). As a result, it can be applied to arbitrarily structural grids and reserve the simple procedure of ISLBM. The simulation of the lid-driven cavity flow and the flow around a cylinder were performed to validate the proposed method. The numerical results agree excellently with the data in the literature.

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Simulation of a 3-D Lid-Driven Cavity Flow by a Parallelised Lattice Boltzmann Method

Parallel Computational Fluid Dynamics 2002 ◽

10.1016/b978-044450680-1/50034-6 ◽

2003 ◽

pp. 265-271 ◽

Cited By ~ 2

Author(s):

A.R. Davies ◽

J.L. Summers ◽

M.C.T. Wilson

Keyword(s):

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Cavity Flow ◽

Driven Cavity ◽

Driven Cavity Flow ◽

Boltzmann Method

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A Lattice Boltzmann Dynamic Subgrid Model for Lid-Driven Cavity Flow

Volume 2, Parts A and B ◽

10.1115/ht-fed2004-56100 ◽

2004 ◽

Author(s):

Fan Yang ◽

Yulin Wu ◽

Shuhong Liu

Keyword(s):

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Cavity Flow ◽

Driven Cavity ◽

Subgrid Model ◽

Benchmark Solution ◽

Simulation Results ◽

Driven Cavity Flow ◽

High Reynolds ◽

Boltzmann Method

In recent years, the lattice Boltzmann method (LBM) has developed into an alternative and promising numerical scheme for simulating fluid flows and modeling physics in fluids. In order to proposing lattice Boltzmann method for high Reynolds number fluid flow applications, as well as conforming the value of Smagorinsky coefficient of subgrid model appropriately, a dynamic subgrid turbulence model for lattice Boltzmann method was proposed on the base of dynamic Smagorinsky subgrid model and LBGK model. Then the subgrid LBGK model was used to simulate the two-dimensional driven cavity flow at some high Reynolds numbers. The simulation results including distribution of stream lines, dimensionless velocities distribution, stream function, as well as location of vertex center, were compared with benchmark solution. Both simulation results and benchmark solution are agreed with each other.

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Optimal Simulation of Wind Field under Disaster Conditions based on PSO and Entropic Lattice Boltzmann Method

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001419590365 ◽

2019 ◽

Vol 33 (10) ◽

pp. 1959036

Author(s):

Yu Ye ◽

Xunjian Xu ◽

Shifeng Wu ◽

Qinpu Li

Keyword(s):

Load Balancing ◽

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Wind Field ◽

Pso Algorithm ◽

Cavity Flow ◽

Driven Cavity ◽

Driven Cavity Flow ◽

Boltzmann Method ◽

Improved Pso

The entropic lattice Boltzmann method (ELBM) is an excellent method of numerical stability among of different versions of the lattice Boltzmann method for the simulation of hydrodynamics, especially for wind field simulation application of power grid disaster conditions. In this paper, an efficient improved particle swarm optimization (PSO) algorithm is studied for optimizing calculation parameters to achieve load balancing of ELBM on nonuniform grids in a heterogeneous computing platform. We also introduce a new concept of multi-block ELBM on composite grids for realization of the ELBM simulations of incompressible driven cavity flow. These new approaches rely on a two-dimensional space-time interpolation and solving the relaxation time parameter by direct approximation optimization strategy to guarantee conservation. Our CPU–GPU implementation of multi-block ELBM based on the improved PSO algorithm not only exploits adequately multi-core CPU computing resources for load balancing, but also follows carefully optimized storage to increase coalesced access on a GPU platform. The three-dimensional-driven cavity flow simulations validate the proposed multi-block ELBM even with severely under-resolved grids. In addition, some performance metrics are investigated based on the implementations of different refined grids and threading blocks. These results exhibit the improved PSO algorithm of the ELBM method which can optimize computing resource parameters in heterogeneous platforms, and the present multi-block ELBM can substantially improve the accuracy and computational efficiency for viscous flow computations.

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Two-Sided Lid-Driven Cavity Flow at Different Speed Ratio by Lattice Boltzmann Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.554.675 ◽

2014 ◽

Vol 554 ◽

pp. 675-679

Author(s):

Nor Azwadi Che Sidik ◽

Siti Aisyah Razali

Keyword(s):

Reynolds Number ◽

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Cavity Flow ◽

Speed Ratio ◽

Driven Cavity ◽

Flow Configuration ◽

Driven Cavity Flow ◽

Boltzmann Method

In this study, the Lattice Boltzmann method has been used to investigate flow configuration of the two-sided lid driven cavity. The top and bottom lid were moved at the same direction but with different speed ratio which varies from 0 to 1. The range of Reynolds number is 100,400 and 1000. The results show that the increase in both speed ratio and Reynolds number give an effect on flow configuration of the cavity.

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