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
  • [21] A generalized Brownian motion model for turbulent relative particle dispersion
    Shivamoggi, B. K.
    PHYSICS LETTERS A, 2016, 380 (36) : 2809 - 2814
  • [22] Experimental and numerical investigation on particle–particle interaction of multi-particle separation in an alternating and repetitive microchannel
    S. Cadirci
    D. Ince
    I. Ghanem
    S. Z. Birol
    L. Trabzon
    H. Turhan
    Microsystem Technologies, 2019, 25 : 307 - 318
  • [23] Multi-particle statistics - lines, shapes, and volumes in high Reynolds number turbulence
    Xu, Hai-tao
    Ouellette, Nicholas T.
    Bodenschatz, Eberhard
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON NONLINEAR MECHANICS, 2007, : 1155 - 1161
  • [24] A Lagrangian model for turbulent dispersion with turbulent-like flow structure: Comparison with direct numerical simulation for two-particle statistics
    Malik, NA
    Vassilicos, JC
    PHYSICS OF FLUIDS, 1999, 11 (06) : 1572 - 1580
  • [25] A Lagrangian model for turbulent dispersion with turbulent-like flow structure: Comparison with direct numerical simulation for two-particle statistics
    Dept. Appl. Math. and Theor. Phys., University of Cambridge, Cambridge CB3 9EW, United Kingdom
    不详
    Phys Fluids, 6 (1572-1580):
  • [26] Multi-particle sampling in Monte Carlo simulations on fluids: efficiency and extended implementations
    Moucka, Filip
    Nezbeda, Ivo
    MOLECULAR SIMULATION, 2009, 35 (08) : 660 - 672
  • [27] Experimental and numerical investigation on particle-particle interaction of multi-particle separation in an alternating and repetitive microchannel
    Cadirci, S.
    Ince, D.
    Ghanem, I.
    Birol, S. Z.
    Trabzon, L.
    Turhan, H.
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2019, 25 (01): : 307 - 318
  • [28] Numerical simulation of particle transport and dispersion in turbulent pipe flows
    Ahmadi, G
    Chen, Q
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY, 2001, 25 (B2): : 199 - 219
  • [29] Inertial effects on two-particle relative dispersion in turbulent flows
    Gibert, M.
    Xu, H.
    Bodenschatz, E.
    EPL, 2010, 90 (06)
  • [30] Lagrangian stochastic models for two-particle relative turbulent dispersion
    Heppe, BMO
    PROGRESS IN FLUID FLOW RESEARCH: TURBULENCE AND APPLIED MHD, 1998, 182 : 155 - 171