Multi-GPU lattice Boltzmann simulations of turbulent square duct flow at high Reynolds numbers

被引:2
|
作者
Xiang, Xing [1 ,2 ]
Su, Weite [1 ,2 ]
Hu, Tao [1 ,2 ]
Wang, Limin [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Lattice Boltzmann method; Turbulent square duct flow; Multi-GPU computation; Turbulent statistics; DIRECT NUMERICAL-SIMULATION; GAS-SOLID FLOWS; HEAT-TRANSFER; PARTICULATE SUSPENSIONS; SECONDARY FLOW; IMPLEMENTATION; EQUATION; VELOCITY; MODELS; FLUX;
D O I
10.1016/j.compfluid.2023.106061
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Based on the multi-GPU lattice Boltzmann method with the half-way bounce-back scheme, fully developed turbulent duct flows at the friction Reynolds numbers Re-tau of 300, 600, 1,200, 1,500, 1,800, and 2,000 were simulated. The parallel performance of multi-GPU lattice Boltzmann simulations is up to 300.162 GLUPS using 1.57 billion grids with 384 GPUs. The simulated friction factor f was consistent with other DNS and experiment results, as well as the Karman-Prandtl theoretical friction law, which verified a sufficient grid resolution Delta(+) <= 3.3, and the LBGK model is stable for Delta(+) <= 5 at high Reynolds numbers. The secondary flows were successfully captured, and turbulence statistics of root-mean-square (r.m.s.) velocity and Reynolds stress were analyzed. The two-point velocity correlation functions and turbulent energy spectra at different positions showed that secondary flows in the near-corner region changed spatial turbulence distribution. Multi-GPU lattice Boltzmann simulations with large grid scales can deal with turbulent square duct flows at high Reynolds numbers and show promise for high-fidelity and scale-resolving fluid dynamics.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Lattice-Boltzmann simulations of the thermally driven 2D square cavity at high Rayleigh numbers
    Contrino, Dario
    Lallemand, Pierre
    Asinari, Pietro
    Luo, Li-Shi
    JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 275 : 257 - 272
  • [42] Lattice Boltzmann model of microfluidics with high Reynolds numbers in the presence of external forces
    Li, BM
    Kwok, DY
    LANGMUIR, 2003, 19 (07) : 3041 - 3048
  • [43] Numerical Simulations of Flow Around Wall-Mounted Square and Trapezoidal Structures at High Reynolds Numbers
    Andersen, Martin
    Yin, Guang
    Ong, Muk Chen
    JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2021, 143 (01):
  • [44] Particle dispersion in turbulent, square open duct flows of high Reynolds number
    Wang, Yanzhi
    Zhao, Yanlin
    Yao, Jun
    POWDER TECHNOLOGY, 2019, 354 : 92 - 107
  • [45] Lattice Boltzmann Solver for Multiphase Flows: Application to High Weber and Reynolds Numbers
    Hosseini, Seyed Ali
    Safari, Hesameddin
    Thevenin, Dominique
    ENTROPY, 2021, 23 (02) : 1 - 16
  • [47] LES of turbulent square jet flow using an MRT lattice Boltzmann model
    Yu, Huidan
    Luo, Li-Shi
    Girimaji, Sharath S.
    COMPUTERS & FLUIDS, 2006, 35 (8-9) : 957 - 965
  • [48] Multi-GPU solution to the lattice Boltzmann method: An application in multiscale digital rock simulation for shale formation
    Chen, Tianluo
    Ning, Yang
    Amritkar, Amit
    Qin, Guan
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 30 (19):
  • [49] Reynolds number effects on the flow around square cylinder based on lattice Boltzmann method
    Liu, T. C.
    Ge, Y. J.
    Cao, F. C.
    Zhou, Z. Y.
    Zhang, W.
    NEW TRENDS IN FLUID MECHANICS RESEARCH: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON FLUID MECHANICS, 2007, : 170 - 170
  • [50] Drag correlation for micro spherical particles at finite Reynolds and Knudsen numbers by lattice Boltzmann simulations
    Tao, Shi
    Zhang, Haolong
    Guo, Zhaoli
    JOURNAL OF AEROSOL SCIENCE, 2017, 103 : 105 - 116