Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2008-02-26
Phys. Rev. Lett. 100, 254504 (2008)
Nonlinear Sciences
Chaotic Dynamics
5 pages, 1 figure; content changed, references updated
Scientific paper
10.1103/PhysRevLett.100.254504
We present a collection of eight data sets, from state-of-the-art experiments and numerical simulations on turbulent velocity statistics along particle trajectories obtained in different flows with Reynolds numbers in the range $R_\lambda \in [120:740]$. Lagrangian structure functions from all data sets are found to collapse onto each other on a wide range of time lags, revealing a universal statistics, and calling for a unified theoretical description. Parisi-Frisch Multifractal theory, suitable extended to the dissipative scales and to the Lagrangian domain, is found to capture intermittency of velocity statistics over the whole three decades of temporal scales here investigated.
Arneodo ICTR: A.
Benzi Roberto
Berg Johannes
Biferale Luca
Bodenschatz Eberhard
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