Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence
Keigo Matsuda, Kai Schneider, Katsunori Yoshimatsu
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.
Topics & Concepts
SkewnessReynolds numberHomogeneous isotropic turbulenceKolmogorov microscalesTurbulencePhysicsStokes numberStatistical physicsIsotropyStatisticsMathematicsDirect numerical simulationMechanicsK-epsilon turbulence modelQuantum mechanicsK-omega turbulence modelParticle Dynamics in Fluid FlowsAeolian processes and effectsFluid Dynamics and Turbulent Flows