A single-step and simplified graphics processing unit lattice Boltzmann method for high turbulent flows

被引:7
|
作者
Delgado-Gutierrez, Arturo [1 ]
Marzocca, Pier [2 ]
Cardenas, Diego [3 ]
Probst, Oliver [4 ]
机构
[1] Tecnol Monterrey, Sch Engn & Sci, Ciudad De Mexico, Mexico
[2] RMIT Univ, Aerosp Engn & Aviat, Melbourne, Vic, Australia
[3] Tecnol Monterrey, Sch Engn & Sci, Av Gen Ramon Corona 2514, Zapopan 45138, Jalisco, Mexico
[4] Tecnol Monterrey, Sch Engn & Sci, Monterrey, Mexico
关键词
compute shaders; fluid simulation; GPU; jet flow; lattice Boltzmann Method; LES model; lid‐ driven cavity; OpenGL; DRIVEN CAVITY FLOW; SIMULATION; STABILITY;
D O I
10.1002/fld.4976
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this work, a low-computational cost graphics processing unit (GPU) lattice Boltzmann Method, coupled with the LES Vreman turbulence model is presented. The algorithm is capable of simulating low- and high-turbulence flows. In contrast to the fractional-step presented in the Simplified Lattice Boltzmann Method, the proposed work uses a single-step approach, allowing faster computations of the macroscopic variables without losing any spatial accuracy. Inspired by a recently introduced directional interpolation method for the probability distribution functions, the macroscopic variables for different locations are computed separately, enabling an even further simplification of the steps needed to predict the following time-step. Similar to the simplified lattice Boltzmann method, this work reduces the required memory allocation by storing only the macroscopic variables. Multiple benchmark cases are presented to compare with results reported in the literature. Excellent agreement with reports in the literature are obtained, while improving the overall computational performance of the algorithm.
引用
收藏
页码:2339 / 2361
页数:23
相关论文
共 50 条
  • [11] A fractional step lattice Boltzmann method for simulating high Reynolds number flows
    Shu, C.
    Niu, X. D.
    Chew, Y. T.
    Cai, Q. D.
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2006, 72 (2-6) : 201 - 205
  • [12] Lattice Boltzmann Method for the Simulation of High Reynolds Number Flows
    Liu, Qiang
    Xie, Wei
    Qiu, Liaoyuan
    Xie, Xueshen
    ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION, PTS 1 AND 2, 2014, 444-445 : 352 - 356
  • [13] A graphic processing unit implementation for the moment representation of the lattice Boltzmann method
    Ferrari, Marco A. A.
    de Oliveira Jr, Waine B. B.
    Lugarini, Alan
    Franco, Admilson T. T.
    Hegele Jr, Luiz A. A.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2023, 95 (07) : 1076 - 1089
  • [14] A simplified axisymmetric lattice Boltzmann method for incompressible swirling and rotating flows
    Chen, Z.
    Shu, C.
    Zhang, L. Q.
    PHYSICS OF FLUIDS, 2019, 31 (02)
  • [15] Consistent Forcing Scheme in the Simplified Lattice Boltzmann Method for Incompressible Flows
    Gao, Yuan
    Yang, Liuming
    Yu, Yang
    Hou, Guoxiang
    Hou, Zhongbao
    COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 30 (05) : 1427 - 1452
  • [16] Optimized implementation of the Lattice Boltzmann Method on a graphics processing unit towards real-time fluid simulation
    Delbosc, N.
    Summers, J. L.
    Khan, A. I.
    Kapur, N.
    Noakes, C. J.
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2014, 67 (02) : 462 - 475
  • [17] Entropic Lattice Boltzmann Method for high Reynolds number fluid flows
    Xu, Hui
    Luan, Hui-Bao
    Tang, Gui-Hua
    Tao, Wen-Quan
    PROGRESS IN COMPUTATIONAL FLUID DYNAMICS, 2009, 9 (3-5): : 183 - 193
  • [18] A lattice Boltzmann method for axisymmetric multicomponent flows with high viscosity ratio
    Liu, Haihu
    Wu, Lei
    Ba, Yan
    Xi, Guang
    Zhang, Yonghao
    JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 327 : 873 - 893
  • [19] Simplified lattice Boltzmann method for non-Newtonian power-law fluid flows
    Chen, Zhen
    Shu, Chang
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2020, 92 (01) : 38 - 54
  • [20] A novel one-step simplified lattice Boltzmann method and its application to multiphase flows with large density ratio
    Qin, Shenglei
    Hou, Guoxiang
    Yang, Liuming
    Gao, Yuan
    Guo, Wenqiang
    Shi, Jiahao
    PHYSICS OF FLUIDS, 2023, 35 (05)