Issue |
EPL
Volume 96, Number 6, December 2011
|
|
---|---|---|
Article Number | 60012 | |
Number of page(s) | 5 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/96/60012 | |
Published online | 13 December 2011 |
Ergodic and non-ergodic clustering of inertial particles
Department of Physics, Gothenburg University - 41296 Gothenburg, Sweden, EU
a
Bernhard.Mehlig@physics.gu.se
Received:
4
August
2011
Accepted:
1
November
2011
We compute the fractal dimension of clusters of inertial particles in random flows at finite values of Kubo (Ku) and Stokes (St) numbers, by a new series expansion in Ku. At small St, the theory includes clustering by Maxey's non-ergodic “centrifuge effect”. In the limit of St→∞ and Ku→0 (so that Ku2St remains finite) it explains clustering in terms of ergodic “multiplicative amplification”. In this limit, the theory is consistent with the asymptotic perturbation series in Mehlig B. et al., Phys. Rev. Lett., 92 (2004) 250602. The new theory allows to analyse how the two clustering mechanisms compete at finite values of St and Ku. For particles suspended in two-dimensional random Gaussian incompressible flows, the theory yields excellent results for Ku<0.2 for St∼1. The ergodic mechanism is found to contribute significantly unless St is very small. For higher values of Ku the new series is likely to require resummation. But numerical simulations show that for Ku∼St∼1, ergodic multiplicative amplification makes a substantial contribution to clustering.
PACS: 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 05.60.Cd – Classical transport / 46.65.+g – Random phenomena and media
© EPLA, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.