Litcius/Paper detail

Hydrodynamic interactions and extreme particle clustering in turbulence

Andrew D. Bragg, Adam Hammond, Rohit Dhariwal, Hui Meng

2021Journal of Fluid Mechanics22 citationsDOIOpen Access PDF

Abstract

Expanding recent observations by Hammond & Meng ( J. Fluid Mech. , vol. 921, 2021, A16), we present a range of detailed experimental data of the radial distribution function (r.d.f.) of inertial particles in isotropic turbulence for different Stokes number, $St$ , showing that the r.d.f. grows explosively with decreasing separation r , exhibiting $r^{-6}$ scaling as the collision radius is approached, regardless of $St$ or particle radius $a$ . To understand such explosive clustering, we correct a number of errors in the theory by Yavuz et al. ( Phys. Rev. Lett. , vol. 120, 2018, 244504) based on hydrodynamic interactions between pairs of small, weakly inertial particles. A comparison between the corrected theory and the experiment shows that the theory by Yavuz et al. underpredicts the r.d.f. by orders of magnitude. To explain this discrepancy, we explore several alternative mechanisms for this discrepancy that were not included in the theory and show that none of them are likely the explanation. This suggests new, yet-to-be-identified physical mechanisms are at play, requiring further investigation and new theories.

Topics & Concepts

PhysicsTurbulenceStatistical physicsScalingInertial frame of referenceRADIUSFunction (biology)Cluster analysisClassical mechanicsMechanicsComputer scienceStatisticsMathematicsBiologyComputer securityEvolutionary biologyGeometryParticle Dynamics in Fluid FlowsFluid Dynamics and Turbulent FlowsAeolian processes and effects
Hydrodynamic interactions and extreme particle clustering in turbulence | Litcius