Clustering of heavy particles in the inertial range of turbulence
J. Bec, M. Cencini, R. Hillerbrand
Abstract
A statistical description of heavy particles suspended in incompressible rough self-similar flows is developed. It is shown that, differently from smooth flows, particles do not form fractal clusters. They rather distribute inhomogeneously with a statistics that only depends on a local Stokes number, given by the ratio between the particles' response time and the turnover time associated to the observation scale. Particle clustering is reduced when increasing the fluid roughness. Heuristic arguments supported by numerics are used to explain this effect in terms of the algebraic tails of the probability density function of the velocity difference between two particles. These tails are a signature of events during which particle couples approach each other very closely.
Create a lesson
Related papers
Exploring continuous beta-ensembles: A Python implementation for random matrix spectral statistics
Dorin Weissman
Mutual information-entropy plane: a new quantifier space for time series analysis
Gonzalez Acosta Gaspar, Kowalski Andrés M
Characterization of Chaotic Evolution in Quantum Systems Induced by Random Hermitian Matrices
Arkady Kurnosov, Sven Gnutzmann, Uzy Smilansky
Noise Effects on Ordinal Pattern Statistics via Majorization
Facundo Sapienza
Synchronization induces Bell violations in a model of walking droplets
Álvaro G. López, Rahil N. Valani, Yuanmei Li et al.
Identifying the structure of dynamical transitions in logistic map
Aswin Balaji, Shruti Tandon, Shwetha Viswesh et al.