Velocity and acceleration statistics in particle-laden turbulent swirling flows

Abstract

We present a comparison of different particles' velocity and acceleration statistics in two paradigmatic turbulent swirling flows: the von Kármán flow in a laboratory experiment, and the Taylor-Green flow in direct numerical simulations. Tracers, as well as inertial particles, are considered. Results indicate that, in spite of the differences in boundary conditions and forcing mechanisms, scaling properties and statistical quantities reveal similarities between both flows, pointing to new methods to calibrate and compare models for particles dynamics in numerical simulations, as well as to characterize the dynamics of particles in simulations and experiments.

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• Clustering of vector nulls in homogeneous isotropic turbulence
• Clustering in laboratory and numerical turbulent swirling flows
• Broken mirror symmetry of tracer's trajectories in turbulence
• Eulerian and Lagrangian second-order statistics of superfluid ${}^4$He grid turbulence
• Multi-time structure functions and the Lagrangian scaling of turbulence
• Settling and clustering of particles of moderate mass density in turbulence