Physics of Fluids · 2014 · 51 citations · 27 references
EngineeringPhysicsComputational Fluid DynamicsFluid DynamicsFluid MechanicsDirect Numerical SimulationDroplet DynamicsLow-reynolds-number FlowTurbulenceTurbulent FlowTurbulent TransportDissipationDroplet Dynamics In TurbulenceStokes EquationsStokes NumberTurbulence ModellingTurbulence StatisticsTurbulent Flow ModelingVelocity
We compare experiments and direct numerical simulations to evaluate the accuracy of the Stokes-drag model, which is used widely in studies of inertial particles in turbulence. We focus on statistics at the dissipation scale and on extreme values of relative particle velocities for moderately inertial particles (St < 1). The probability distributions of relative velocities in the simulations were qualitatively similar to those in the experiments. The agreement improved with increasing Stokes number and decreasing relative velocity. Simulations underestimated the probability of extreme events, which suggests that the Stokes drag model misses important dynamics. Nevertheless, the scaling behavior of the extreme events in both the experiments and the simulations can be captured by the same multi-fractal model.
27
Anomalous scaling laws in multifractal objects
Giovanni Paladin, Angelo Vulpiani · Physics Reports · 1987 · 984 citations
Acceleration of rain initiation by cloud turbulence
Gregory Falkovich, A. Fouxon · Nature · 2002 · 659 citations