1303 Study on application of lattice Boltzmann method for flow simulation at high Reynolds number

2012 ◽  
Vol 2012.25 (0) ◽  
pp. 676-677
Author(s):  
Takumi Yamanaka ◽  
Tomohiro Fukui ◽  
Koji Morinishi
2019 ◽  
Vol 11 (03) ◽  
pp. 1950028 ◽  
Author(s):  
N. M. Sangtani Lakhwani ◽  
F. C. G. A. Nicolleau ◽  
W. Brevis

Lattice Boltzmann Method (LBM) simulations for turbulent flows over fractal and non-fractal obstacles are presented. The wake hydrodynamics are compared and discussed in terms of flow relaxation, Strouhal numbers and wake length for different Reynolds numbers. Three obstacle topologies are studied, Solid (SS), Porous Regular (PR) and Porous Fractal (FR). In particular, we observe that the oscillation present in the case of the solid square can be annihilated or only pushed downstream depending on the topology of the porous obstacle. The LBM is implemented over a range of four Reynolds numbers from 12,352 to 49,410. The suitability of LBM for these high Reynolds number cases is studied. Its results are compared to available experimental data and published literature. Compelling agreements between all three tested obstacles show a significant validation of LBM as a tool to investigate high Reynolds number flows in complex geometries. This is particularly important as the LBM method is much less time consuming than a classical Navier–Stokes equation-based computing method and high Reynolds numbers need to be achieved with enough details (i.e., resolution) to predict for example canopy flows.


2018 ◽  
Vol 98 (4) ◽  
Author(s):  
L. A. Hegele ◽  
A. Scagliarini ◽  
M. Sbragaglia ◽  
K. K. Mattila ◽  
P. C. Philippi ◽  
...  

2013 ◽  
Vol 444-445 ◽  
pp. 352-356
Author(s):  
Qiang Liu ◽  
Wei Xie ◽  
Liao Yuan Qiu ◽  
Xue Shen Xie

The lattice Boltzmann method (LBM) is considered as an alternative scheme to the standard Navier-Stokes approach. To simulate the high Reynolds number turbulence, several approaches based on LBM have been proposed. Among them, 5 approaches including the direct numerical simulation, dynamic subgrid scale model, inertial range consistent subgrid model, very large eddy simulation and entropic lattice Boltzmann method are discussed in detail. Features including improvements and shortcomings of each approach are presented. Whats more, application prospects of these approaches in high Reynolds number turbulence simulations are pointed out.


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