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Deutsche Physikalische Gessellschaft IOP Institute of Physics

Statistical models for predicting pair dispersion and particle clustering in isotropic turbulence and their applications

Leonid I Zaichik1,3 and Vladimir M Alipchenkov2

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The purpose of this paper is twofold: (i) to advance and extend the statistical two-point models of pair dispersion and particle clustering in isotropic turbulence that were previously proposed by Zaichik and Alipchenkov (2003 Phys. Fluids15 1776–87; 2007 Phys. Fluids 19, 113308) and (ii) to present some applications of these models. The models developed are based on a kinetic equation for the two-point probability density function of the relative velocity distribution of two particles. These models predict the pair relative velocity statistics and the preferential accumulation of heavy particles in stationary and decaying homogeneous isotropic turbulent flows. Moreover, the models are applied to predict the effect of particle clustering on turbulent collisions, sedimentation and intensity of microwave radiation as well as to calculate the mean filtered subgrid stress of the particulate phase. Model predictions are compared with direct numerical simulations and experimental measurements.


PACS

47.27.Gs Isotropic turbulence; homogeneous turbulence

47.57.ef Sedimentation and migration

47.27.eb Statistical theories and models

Subjects

Soft matter, liquids and polymers

Fluid dynamics

Dates

Issue 10 (October 2009)

Received 17 June 2009

Published 7 October 2009



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