Volume 86, Number 4, May 2009
|Number of page(s)||6|
|Published online||04 June 2009|
Autocorrelation function of velocity increments time series in fully developed turbulence
Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University - 200072 Shanghai, China
2 Université des Sciences et Technologies de Lille - Lille 1, CNRS, Laboratory of Oceanology and Geosciences, UMR 8187 LOG - 62930 Wimereux, France, EU
Corresponding author: email@example.com
Accepted: 5 May 2009
In fully developed turbulence, the velocity field possesses long-range correlations, denoted by a scaling power spectrum or structure functions. Here we consider the autocorrelation function of velocity increment at separation time . Anselmet et al. (J. Fluid Mech., 140 (1984) 63) have found that the autocorrelation function of velocity increment has a minimum value, whose location is approximately equal to . Taking statistical stationary assumption, we link the velocity increment and the autocorrelation function with the power spectrum of the original variable. We then propose an analytical model of the autocorrelation function. With this model, we prove that the location of the minimum autocorrelation function is exactly equal to the separation time when the scaling of the power spectrum of the original variable belongs to the range 0 < β < 2. This model also suggests a power law expression for the minimum autocorrelation. Considering the cumulative function of the autocorrelation function, it is shown that the main contribution to the autocorrelation function comes from the large scale part. Finally we argue that the autocorrelation function is a better indicator of the inertial range than the second-order structure function.
PACS: 05.45.Tp – Time series analysis / 02.50.Fz – Stochastic analysis / 47.27.Gs – Isotropic turbulence; homogeneous turbulence
© EPLA, 2009
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.