Reynolds number of transition and large-scale properties of strong turbulence
Victor Yakhot

TL;DR
This paper investigates the transition to turbulence by analyzing scale-dependent Reynolds numbers, revealing a universal transition Reynolds number where flow statistics change, and highlighting the dominance of the lowest-order nonlinearity in this process.
Contribution
It introduces a scale-dependent framework showing that the transition Reynolds number is universal and that higher-order nonlinearities vanish at the transition point.
Findings
Reynolds numbers approach a universal transition value at large scales.
Higher-order nonlinearities become negligible near the transition.
The transition is governed primarily by the lowest-order nonlinearity.
Abstract
A turbulent flow is characterized by velocity fluctuations excited in an extremely broad interval of wave numbers where is a relatively small set of the wave-vectors where energy is pumped into fluid by external forces. Iterative averaging over small-scale velocity fluctuations from the interval , where is the dissipation scale, leads to an infinite number of "relevant" scale-dependent coupling constants ( Reynolds numbers ) . It is shown that in the i.r. limit , the Reynolds numbers where is the recently numerically and experimentally discovered universal Reynolds number of "smooth" transition from Gaussian to anomalous statistics of spatial velocity derivatives. The calculated relation "selects"…
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.
