An accurate and efficient Lagrangian sub-grid model

被引:14
|
作者
Mazzitelli, Irene M. [1 ,2 ]
Toschi, Federico [3 ,4 ,5 ]
Lanotte, Alessandra S. [6 ,7 ]
机构
[1] Univ Salento, Dip Ingn Innovaz, I-73100 Lecce, Italy
[2] CNR, ISAC, I-00133 Rome, Italy
[3] Eindhoven Univ Technol, Dept Appl Phys, NL-5600 MB Eindhoven, Netherlands
[4] Eindhoven Univ Technol, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands
[5] CNR, IAC, I-00185 Rome, Italy
[6] CNR, ISAC, I-73100 Lecce, Italy
[7] INFN, Sez Lecce, I-73100 Lecce, Italy
关键词
2-PARTICLE DISPERSION; STOCHASTIC-MODELS; PARTICLE PAIRS; RELATIVE DIFFUSION; BOUNDARY-LAYER; TURBULENCE; SIMULATIONS; STATISTICS; GEOMETRY; MOTION;
D O I
10.1063/1.4894149
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A computationally efficient model is introduced to account for the sub-grid scale velocities of tracer particles dispersed in statistically homogeneous and isotropic, incompressible turbulent flows. The model embeds the multi-scale nature of turbulent temporal and spatial correlations, that are essential to reproduce multi-particle dispersion. It is capable to describe the Lagrangian diffusion and dispersion of temporally and spatially correlated clouds of particles. Although the model neglects intermittent corrections, we show that pair and tetrad dispersion results nicely compare with Direct Numerical Simulations of statistically isotropic and homogeneous 3D turbulence. This is in agreement with recent observations that deviations from self-similar pair dispersion statistics are rare events. (C) 2014 AIP Publishing LLC.
引用
收藏
页数:17
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