A new method of identifying self-similarity in isotropic turbulence
W. David McComb, Samuel R. Yoffe, Arjun Berera

TL;DR
The paper introduces a novel method for analyzing self-similarity in isotropic turbulence by plotting the ratio of structure functions, revealing that the second-order exponent decreases with Reynolds number, supporting finite-viscosity corrections.
Contribution
It proposes a new technique for analyzing structure functions in turbulence, differing from ESS, and provides new insights into the behavior of the second-order exponent at high Reynolds numbers.
Findings
The new method shows $ ext{zeta}_2$ approaches 0.67 as Reynolds number increases.
The method supports finite-viscosity corrections to Kolmogorov's theory.
Contradicts previous ESS-based results regarding $ ext{zeta}_2$.
Abstract
In order to analyse results for structure functions, , we propose plotting the ratio against the separation . This method differs from the extended self-similarity (ESS) technique, which plots against , where . Using this method in conjunction with pseudospectral evaluation of structure functions, for the particular case of we obtain the new result that the exponent decreases as the Taylor-Reynolds number increases, with as . This supports the idea of finite-viscosity corrections to the K41 prediction for , and is the opposite of the result obtained by ESS.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Complex Systems and Time Series Analysis · Market Dynamics and Volatility
