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Title: Mechanisms for the clustering of inertial particles in the inertial range of isotropic turbulence

Journal Article · · Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
 [1];  [2];  [2]
  1. Cornell Univ., Ithaca, NY (United States). Sibley School of Mechanical and Aerospace Engineering; Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Applied Mathematics and Plasma Physics Group
  2. Cornell Univ., Ithaca, NY (United States). Sibley School of Mechanical and Aerospace Engineering

In this study, 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 Str <<1, where Str is the Stokes number based on the eddy turnover time scale at separation r, 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 Str≳O(1) this mechanism gives way to a nonlocal 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. Further, we discuss the similarities and differences between the clustering mechanisms we identify in the inertial range and the “sweep-stick” mechanism developed by Coleman and Vassilicos. We show that the idea that initial particles are swept along with acceleration stagnation points is only approximately true because there always exists a finite difference between the velocity of the acceleration stagnation points and the local fluid velocity. This relative velocity is sufficient to allow particles to traverse the average distance between the stagnation points within the correlation time scale of the acceleration field. We also show that the stick part of the mechanism is only valid for Str<<1 in the inertial range. We emphasize that our clustering mechanism provides the more fundamental explanation since it, unlike the sweep-stick mechanism, is able to explain clustering in arbitrary spatially correlated velocity fields. We then consider the closed, model equation for the RDF given in Zaichik and Alipchenkov and use this, together with the results from our analysis, to predict the analytic form of the RDF in the inertial range for Str<<1, which, unlike that in the dissipation range, is not scale invariant. Finally, the results are in good agreement with direct numerical simulations, provided the separations are well within the inertial range.

Research Organization:
Cornell Univ., Ithaca, NY (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Contributing Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Grant/Contract Number:
CBET-0967349
OSTI ID:
1329877
Report Number(s):
LA-UR-15-24949
Journal Information:
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, Vol. 92, Issue 2; ISSN 1539-3755
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 44 works
Citation information provided by
Web of Science

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Cited By (9)

Particle-pair relative velocity measurement in high-Reynolds-number homogeneous and isotropic turbulence using 4-frame particle tracking velocimetry journal January 2018
Statistical models for spatial patterns of heavy particles in turbulence journal January 2016
The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part 1. Simulations without gravitational effects journal May 2016
A model study of the effect of clustering on the last stage of drizzle formation journal October 2019
Particles in turbulent separated flow over a bump: Effect of the Stokes number and lift force journal October 2019
Clustering of heavy particles in vortical flows: a selective review journal March 2017
The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part 2. Simulations with gravitational effects journal May 2016
Statistical models for spatial patterns of heavy particles in turbulence text January 2014
Particle-Pair Relative Velocity Measurement in High-Reynolds-Number Homogeneous and Isotropic Turbulence Using 4-Frame Particle Tracking Velocimetry text January 2017

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