Lattice Boltzmann Method Simulations of High Reynolds Number Flows Past Porous Obstacles

被引:6
|
作者
Lakhwani, N. M. Sangtani [1 ]
Nicolleau, F. C. G. A. [2 ]
Brevis, W. [3 ]
机构
[1] Univ Sheffield, Dept Mech Engn, SFMG, Sheffield, S Yorkshire, England
[2] Univ Sheffield, SFMG, Sheffield, S Yorkshire, England
[3] Pontificia Univ Catolica Chile, Dept Hydraul & Environm Engn & Min Engn, Santiago, Chile
关键词
LBM; porous obstacle; channel flow; turbulennt flow; SQUARE CYLINDER; TURBULENT;
D O I
10.1142/S1758825119500285
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Lattice Boltzmann Method for the Simulation of High Reynolds Number Flows
    Liu, Qiang
    Xie, Wei
    Qiu, Liaoyuan
    Xie, Xueshen
    [J]. ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION, PTS 1 AND 2, 2014, 444-445 : 352 - 356
  • [2] Entropic Lattice Boltzmann Method for high Reynolds number fluid flows
    Xu, Hui
    Luan, Hui-Bao
    Tang, Gui-Hua
    Tao, Wen-Quan
    [J]. PROGRESS IN COMPUTATIONAL FLUID DYNAMICS, 2009, 9 (3-5): : 183 - 193
  • [3] A comparative study of boundary conditions for lattice Boltzmann simulations of high Reynolds number flows
    Hu, Kainan
    Meng, Jianping
    Zhang, Hongwu
    Gu, Xiao-Jun
    Emerson, David R.
    Zhang, Yonghao
    [J]. COMPUTERS & FLUIDS, 2017, 156 : 1 - 8
  • [4] A fractional step lattice Boltzmann method for simulating high Reynolds number flows
    Shu, C.
    Niu, X. D.
    Chew, Y. T.
    Cai, Q. D.
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2006, 72 (2-6) : 201 - 205
  • [5] Some progress in the lattice Boltzmann method: Reynolds number enhancement in simulations
    He, XY
    Luo, LS
    Dembo, M
    [J]. PHYSICA A, 1997, 239 (1-3): : 276 - 285
  • [6] Lattice Boltzmann simulations of low-Reynolds-number flows past fluidized spheres: effect of inhomogeneities on the drag force
    Rubinstein, Gregory J.
    Ozel, Ali
    Yin, Xiaolong
    Derksen, J. J.
    Sundaresan, Sankaran
    [J]. JOURNAL OF FLUID MECHANICS, 2017, 833 : 599 - 630
  • [7] Lattice-Boltzmann simulations of particles in non-zero-Reynolds-number flows
    Qi, DW
    [J]. JOURNAL OF FLUID MECHANICS, 1999, 385 : 41 - 62
  • [8] Lattice Boltzmann Method for high Reynolds number compressible flow
    Tran, Si Bui Quang
    Leong, Fong Yew
    Le, Quang Tuyen
    Le, Duc Vinh
    [J]. COMPUTERS & FLUIDS, 2022, 249
  • [9] Simulating high Reynolds number flow by lattice Boltzmann method
    Kang, XY
    Liu, DH
    Zhou, J
    Jin, YJ
    [J]. CHINESE PHYSICS LETTERS, 2005, 22 (06) : 1456 - 1459
  • [10] Memory-efficient Lattice Boltzmann Method for low Reynolds number flows
    Matyka, Maciej
    Dzikowski, Michal
    [J]. Computer Physics Communications, 2021, 267