Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime

被引:12
|
作者
Jain, Kartik [1 ]
机构
[1] Univ Twente, Fac Engn Technol, POB 217, NL-7500 AE Enschede, Netherlands
关键词
Lattice Boltzmann method; Transitional flow; Turbulence; FDA; Nozzle; Hydrodynamic instability; BLOOD-FLOW; SIMULATION; INVARIANCE; SCALES; FLUID;
D O I
10.1007/s11517-020-02188-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Flows through medical devices as well as in anatomical vessels despite being at moderate Reynolds number may exhibit transitional or even turbulent character. In order to validate numerical methods and codes used for biomedical flow computations, the US Food and Drug Administration (FDA) established an experimental benchmark, which was a pipe with gradual contraction and sudden expansion representing a nozzle. The experimental results for various Reynolds numbers ranging from 500 to 6500 were publicly released. Previous and recent computational investigations of flow in the FDA nozzle found limitations in various CFD approaches and some even questioned the adequacy of the benchmark itself. This communication reports the results of a lattice Boltzmann method (LBM) - based direct numerical simulation (DNS) approach applied to the FDA nozzle benchmark for transitional cases of Reynolds numbers 2000 and 3500. The goal is to evaluate if a simple off the shelf LBM would predict the experimental results without the use of complex models or synthetic turbulence at the inflow. LBM computations with various spatial and temporal resolutions are performed-in the extremities of 45 million to 2.88 billion lattice cells-executed respectively on 32 CPU cores of a desktop to more than 300,000 cores of a modern supercomputer to explore and characterize miniscule flow details and quantify Kolmogorov scales. The LBM simulations transition to turbulence at a Reynolds number 2000 like the FDA's experiments and acceptable agreement in jet breakdown locations, average velocity, shear stress, and pressure is found for both the Reynolds numbers.
引用
收藏
页码:1817 / 1830
页数:14
相关论文
共 50 条
  • [31] Numerical Modelling of Microchannel Gas Flows in the Transition Flow Regime Using the Cascaded Lattice Boltzmann Method
    Liu, Qing
    Feng, Xiang-Bo
    [J]. ENTROPY, 2020, 22 (01) : 41
  • [32] Lattice Boltzmann method for heat transfer in transitional flows with unified single-node curved boundary conditions
    Xiang, Xing
    Wang, Limin
    [J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2023, 210
  • [33] A hybrid algorithm of lattice Boltzmann method and finite difference-based lattice Boltzmann method for viscous flows
    Shi, Xing
    Huang, Xianwen
    Zheng, Yao
    Ji, Tingwei
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2017, 85 (11) : 641 - 661
  • [34] SIMULATION OF DROPLET FLOWS USING LATTICE BOLTZMANN METHOD
    Gupta, Amit
    Kumar, Ranganathan
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON NANOCHANNELS, MICROCHANNELS, AND MINICHANNELS, PTS A AND B, 2008, : 397 - 407
  • [35] Sediment transport in turbulent flows with the lattice Boltzmann method
    Morrison, Helen E.
    Leder, Alfred
    [J]. COMPUTERS & FLUIDS, 2018, 172 : 340 - 351
  • [36] Investigation of flows in solidification by using the lattice Boltzmann method
    Semma, E.
    El Ganaoui, M.
    Bennacer, R.
    Mohamad, A. A.
    [J]. INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2008, 47 (03) : 201 - 208
  • [37] Entropic lattice Boltzmann method for simulation of thermal flows
    Prasianakis, N. I.
    Chikatamarla, S. S.
    Karlin, I. V.
    Ansumali, S.
    Boulouchos, K.
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2006, 72 (2-6) : 179 - 183
  • [38] The lattice Boltzmann method and its applications in engineering flows
    Tian, Fang-Bao
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2023, 237 (11) : 2431 - 2432
  • [39] Preconditioned lattice-Boltzmann method for steady flows
    Guo, Zhaoli
    Zhao, T.S.
    Shi, Yong
    [J]. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2004, 70 (06): : 1 - 066706
  • [40] Numerical simulation of compressible flows by lattice Boltzmann method
    Shadloo, Mostafa Safdari
    [J]. NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2019, 75 (03) : 167 - 182