Multi-particle and tetrad statistics in numerical simulations of turbulent relative dispersion

被引:23
|
作者
Hackl, J. F. [1 ]
Yeung, P. K. [1 ,2 ,3 ]
Sawford, B. L. [4 ]
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Mech Engn, Atlanta, GA 30332 USA
[4] Monash Univ, Dept Mech & Aerosp Engn, Clayton, Vic 3800, Australia
基金
美国国家科学基金会;
关键词
disperse systems; flow simulation; laminar flow; numerical analysis; turbulent diffusion; two-phase flow; REYNOLDS-NUMBER; PASSIVE SCALAR; ISOTROPIC TURBULENCE; ACCELERATION; UNIVERSALITY; DIFFUSION; PARTICLES; MODEL;
D O I
10.1063/1.3586803
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The evolution in size and shape of three and four-particle clusters (triangles and tetrads, respectively) in isotropic turbulence is studied using direct numerical simulations at grid resolution up to 4096(3) and Taylor-scale Reynolds numbers from 140 to 1000. A key issue is the attainment of inertial range behavior at high Reynolds number, while the small- and large-time limits of ballistic and diffusive regimes, respectively, are also considered in some detail. Tetrad size expressed by the volume (V) and (more appropriately) the gyration radius (R) is shown to display inertial range scaling consistent with a Richardson constant close to 0.56 for two-particle relative dispersion. For tetrads of initial size in a suitable range moments of shape parameters, including the ratio V-2/3/R-2 and normalized eigenvalues of a moment-of-inertia-like dispersion tensor, show a regime of near-constancy which is identified with inertial-range scaling. Sheet-like structures are dominant in this period, while pancakes and needles are more prevalent at later times. For triangles taken from different faces of each tetrad effects of the initial shape (isosceles right-angled or equilateral) are retained only for about one Batchelor time scale. In the inertial range there is a prevalence of nearly isosceles triangles of two long sides and one short side, representing one particle moving away from the other two which are still close together. In general, measures of shape display asymptotic scaling ranges more readily than measures of size. With some caveats, the simulation results are also compared with the limited literature available for multiparticle cluster dispersion in turbulent flow. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3586803]
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Lagrangian stochastic particle model simulations of turbulent dispersion around buildings
    Lee, RL
    Naslund, E
    ATMOSPHERIC ENVIRONMENT, 1998, 32 (04) : 665 - 672
  • [32] Numerical simulations of particle-laden axisymmetric turbulent flows
    Liao, S
    Mashayek, F
    Guo, D
    NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2001, 39 (08) : 847 - 855
  • [34] Numerical study of the flow around a cylinder using multi-particle collision dynamics
    Lamura, A
    Gompper, G
    EUROPEAN PHYSICAL JOURNAL E, 2002, 9 (05): : 477 - 485
  • [35] Numerical calculation of optical properties of multi-particle size aerosol aggregate particles
    Wu, Z. (wuzhs@mail.xidian.edu.cn), 1600, Chinese Optical Society (33):
  • [36] Numerical optimization and multi-particle dynamics simulation of the radial matching section of the RFQ
    肖陈
    何源
    原有进
    王志军
    刘勇
    贺守波
    徐孟鑫
    常玮
    李超
    岳伟明
    赵红卫
    夏佳文
    中国物理C, 2011, 35 (10) : 964 - 968
  • [37] Numerical study of the flow around a cylinder using multi-particle collision dynamics
    A. Lamura
    G. Gompper
    The European Physical Journal E, 2002, 9 : 477 - 485
  • [38] Numerical optimization and multi-particle dynamics simulation of the radial matching section of the RFQ
    Xiao Chen
    He Yuan
    Yuan You-Jin
    Wang Zhi-Jun
    Liu Yong
    He Shou-Bo
    Xu Meng-Xin
    Chang Wei
    Li Chao
    Yue Wei-Ming
    Zhao Hong-Wei
    Xia Jia-Wen
    CHINESE PHYSICS C, 2011, 35 (10) : 964 - 968
  • [39] Numerical Method for Interaction Among Multi-particle, Fluid and Arbitrary Shape Structure
    Kensuke Yokoi
    Journal of Scientific Computing, 2011, 46 : 166 - 181
  • [40] Computational performance of SequenceL coding of the lattice Boltzmann method for multi-particle flow simulations
    Basagaoglu, Hakan
    Blount, Justin
    Blount, Jarred
    Nelson, Bryant
    Succi, Sauro
    Westhart, Phil M.
    Harwell, John R.
    COMPUTER PHYSICS COMMUNICATIONS, 2017, 213 : 92 - 99