Mechanisms for the clustering of inertial particles in the inertial range of isotropic turbulence
Andrew D. Bragg, Peter J. Ireland, Lance R. Collins

TL;DR
This paper investigates the physical mechanisms behind inertial particle clustering in the inertial range of isotropic turbulence, revealing scale-dependent processes and comparing them to known mechanisms like sweep-stick.
Contribution
It identifies the clustering mechanisms in the inertial range, showing their similarity to dissipation range mechanisms and clarifying the limitations of the sweep-stick model.
Findings
Clustering in the inertial range is due to preferential sampling at small Stokes numbers.
Non-local mechanisms dominate when Stokes number is larger.
The derived RDF form matches direct numerical simulation results.
Abstract
In this paper, we consider the physical mechanism for the clustering of inertial particles in the inertial range of isotropic turbulence. We analyze the exact, but unclosed, equation governing the radial distribution function (RDF) and compare the mechanisms it describes for clustering in the dissipation and inertial ranges. We demonstrate that in the limit , where is the Stokes number based on the eddy turnover timescale at separation , the clustering in the inertial range can be understood to be due to the preferential sampling of the coarse-grained fluid velocity gradient tensor at that scale. When this mechanism gives way to a non-local clustering mechanism. These findings reveal that the clustering mechanisms in the inertial range are analogous to the mechanisms that we identified for the dissipation regime (see \emph{New J.…
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