Developments and difficulties in predicting the relative velocities of inertial particles at the small-scales of turbulence
Andrew D. Bragg

TL;DR
This paper improves theoretical predictions of inertial particle relative velocities in turbulence's dissipation range using a modified model based on backward-in-time dispersion theory, but highlights limitations at sub-Kolmogorov scales.
Contribution
The paper develops a modified Pan & Padoan model incorporating backward-in-time dispersion theory to better predict inertial particle velocities in turbulence.
Findings
Modified model improves velocity predictions in the dissipation range.
Model overpredicts velocities for particle separations less than the Kolmogorov length.
Failure to predict correct scale-invariant forms of velocity structure functions.
Abstract
In this paper, we use our recently developed theory for the backward-in-time (BIT) relative dispersion of inertial particles in turbulence (Bragg \emph{et al.}, Phys. Fluids 28, 013305, 2016) to develop the theoretical model by Pan \& Padoan (J. Fluid Mech. 661 73, 2010) for inertial particle relative velocities in isotropic turbulence. We focus on the most difficult regime to model, the dissipation range, and find that the modified Pan \& Padoan model (that uses the BIT dispersion theory) can lead to significantly improved predictions for the relative velocities, when compared with Direct Numerical Simulation (DNS) data. However, when the particle separation distance, , is less than the Kolmogorov length scale, , the modified model overpredicts the DNS data. We explain how these overpredictions arise from two assumptions in the BIT dispersion theory, that are in general not…
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