Issue |
Europhys. Lett.
Volume 58, Number 3, May 2002
|
|
---|---|---|
Page(s) | 349 - 355 | |
Section | General | |
DOI | https://doi.org/10.1209/epl/i2002-00645-y | |
Published online | 01 August 2002 |
To what extent can dynamical models describe statistical features of turbulent flows?
1
Dipartimento di Fisica and Istituto di Fisica
della Materia Università della Calabria - 87036
Rende (CS), Italy
2
Consorzio RFX, Associazione Euratom-ENEA per
la fusione - Padova, Italy
3
Istituto di Fisica della Materia, Unità di Padova -
Padova, Italy
4
The Niels Bohr Institute and Danish Meteorological
Institute DK-2100 Copenhagen, Denmark
5
Istituto di Fisica dello Spazio Interplanetario -
Roma, Italy
Received:
24
July
2001
Accepted:
30
January
2002
Statistical features of “bursty” behaviour in charged and neutral fluid turbulence are compared to statistics of intermittent events in a GOY shell model, and avalanches in different models of Self-Organized Criticality (SOC). It is found that inter-burst times show a power law distribution for turbulent samples and for the shell model, a property which is shared only in a particular case of the running sandpile model. The breakdown of self-similarity generated by isolated events observed in the turbulent samples is well reproduced by the shell model, while it is absent in all SOC models considered. On this base, we conclude that SOC models are not adequate to mimic fluid turbulence, while the GOY shell model constitutes a better candidate to describe the gross features of turbulence.
PACS: 05.45.-a – Nonlinear dynamics and nonlinear dynamical systems / 05.65.+b – Self-organized systems / 52.35.Ra – Plasma turbulence
© EDP Sciences, 2002
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.