Effects of Fluctuating Energy Input on the Small Scales in Turbulence
Chen-Chi Chien, Daniel B. Blum, Greg A. Voth

TL;DR
This study investigates how fluctuations in large-scale energy input affect small-scale turbulence statistics, revealing that such fluctuations influence the Kolmogorov constant and can be effectively modeled and detected through conditioned structure functions.
Contribution
It demonstrates that large-scale energy input fluctuations significantly impact small-scale turbulence metrics and provides a predictive model based on Kolmogorov's refined similarity theory.
Findings
Kolmogorov constant varies with energy input fluctuations
Conditional structure functions detect fluctuations more sensitively
A model predicts the influence of energy fluctuations on turbulence statistics
Abstract
In the standard cascade picture of 3D turbulent fluid flows, energy is input at a constant rate at large scales. Energy is then transferred to smaller scales by an intermittent process that has been the focus of a vast literature. However, the energy input at large scales is not constant in most real turbulent flows. We explore the signatures of these fluctuations of large scale energy input on small scale turbulence statistics. Measurements were made in a flow between oscillating grids, with Re up to 271, in which temporal variations in the large scale energy input can be introduced by modulating the oscillating grid frequency. We find that the Kolmogorov constant for second order longitudinal structure functions depends on the magnitude of the fluctuations in the large scale energy input. We can quantitatively predict the measured change with a model based on Kolmogorov's refined…
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