Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence

Abstract

Prominent features of inertial particle clustering in high Reynolds number turbulence are pronounced cluster and void structures. We show that their multiscale signature can be statistically captured using orthogonal wavelet decomposition of the particle-number density field. Intermittency of particle distribution and cluster/void contributions are quantitatively discussed, and a physical interpretation of significant dependence on scales and the Stokes numbers is proposed.