Do fluid particles separate exponentially in the dissipation range?
Rohit Dhariwal, Andrew D. Bragg

TL;DR
This study uses DNS to investigate how fluid particle separations grow in the dissipation range of turbulence, finding that moments initially grow as power laws but eventually exhibit exponential growth after very long times due to strain-rate fluctuations.
Contribution
The paper provides the first direct numerical evidence that moments of fluid particle separation grow exponentially at long times in the dissipation range, clarifying previous uncertainties.
Findings
Initial separation moments grow as power laws in time.
Long-term moments grow exponentially after ~200 Kolmogorov timescales.
Backward-in-Time moments also grow exponentially at long times.
Abstract
In this paper we consider how the statistical moments of the separation between two fluid particles grow with time when their separation lies in the dissipation range of turbulence. In this range the fluid velocity field varies smoothly, and the relative velocity of two fluid particles depends linearly upon their separation. While this may suggest that the rate at which fluid particles separate is exponential in time, this is not guaranteed because the strain-rate governing their separation is a strongly fluctuating quantity in turbulence. Indeed, the recent paper by Afik \& Steinberg (Nat. Commun. \textbf{8}: 468, 2017) argues that there is no convincing evidence that the moments of the separation between fluid particles grow exponentially with time in the dissipation range of turbulence. Motivated by this, we use Direct Numerical Simulations (DNS) to compute the moments of the…
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