Extended self-similarity in moment-generating-functions in wall-bounded turbulence at high Reynolds number
Xiang I. A. Yang, Charles Meneveau, Ivan Marusic, Luca Biferale

TL;DR
This study demonstrates that extended self-similarity (ESS) enhances the power-law scaling analysis of moment generating functions in wall-bounded turbulence, revealing broader self-similar regions and improving measurement precision at high Reynolds numbers.
Contribution
It introduces the application of ESS to MGFs in wall turbulence, extending the known scaling regions and providing a theoretical model for large and small-scale velocity fluctuations.
Findings
ESS improves the scaling of MGFs across wider regions.
Scaling of large-scale velocity fluctuations depends on Re_τ^{1/2}.
A theoretical model reproduces empirical scaling behaviors.
Abstract
In wall-bounded turbulence, the moment generating functions (MGFs) of the streamwise velocity fluctuations develop power-law scaling as a function of the wall normal distance . Here is the streamwise velocity fluctuation, indicates normalization in wall units (averaged friction velocity), is the distance from the wall, is an independent variable and is the boundary layer thickness. Previous work has shown that this power-law scaling exists in the log-region {\small , }, where is the friction velocity-based Reynolds numbers. Here we present empirical evidence that this self-similar scaling can be extended, including bulk and viscosity-affected regions , , provided the data are interpreted with the Extended-Self-Similarity (ESS), i.e. self-scaling of…
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