Dissecting inertial clustering and sling dynamics in high-Reynolds number particle-laden turbulence
Lukas A. Codispoti, Daniel W. Meyer, Patrick Jenny

TL;DR
This study investigates inertial clustering and sling events in high-Reynolds number turbulence using DNS and LES, revealing scale-dependent clustering mechanisms and the spatial patterns of sling dynamics in turbulent flows.
Contribution
It provides new insights into the scale-similarity of fractal clustering and the spatial organization of sling events in high-Re turbulence, supported by detailed numerical analysis.
Findings
Instantaneous clustering is driven by centrifuge mechanism at early times.
Path history effects influence long-term clustering and fractal structures.
Sling events occur in high-strain sheets between vortices, linked to extreme flow gradients.
Abstract
In this work, we aim to deepen the understanding of inertial clustering and the role of sling events in high-Reynolds number () particle-laden turbulence. To this end, we perform one-way coupled particle tracking in flow fields obtained from direct numerical simulations (DNS) of forced homogeneous isotropic turbulence. Additionally, we examine the impact of filtering utilized in large eddy simulations (LES) by applying a sharp spectral filter to the DNS fields. Our analysis reveals that while instantaneous clustering through the centrifuge mechanism explains clustering at early times, the path history effect--the sampling of fluid flow along particle trajectories--becomes important later on. The filtered fields expose small-scale fractal clustering that cannot be predicted by the instantaneous flow field. We show that there exists a filter-effective Stokes number that governs the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle Dynamics in Fluid Flows · Fluid Dynamics and Turbulent Flows · Hydrology and Sediment Transport Processes
