Velocity Derivatives in Turbulent Boundary Layers. Part II: Statistical Properties
William K. George, Michel Stanislas, Jean-Marc Foucaut and, Jean-Philippe Laval, Christophe Cuvier

TL;DR
This study uses experimental and DNS data to evaluate the assumptions of local isotropy, axisymmetry, and homogeneity in turbulent boundary layers, revealing their limitations near the wall and in the overlap region.
Contribution
It provides the first detailed experimental validation of dissipation tensor assumptions and extends understanding of anisotropy in turbulent boundary layers.
Findings
Local isotropy is invalid inside the outer overlap region.
Assumptions of local axisymmetry and homogeneity fail within y+ = 100.
Dissipation tensor ε_ij differs from pseudo-dissipation tensor D_ij near the wall.
Abstract
An experiment was performed using Dual-plane-SPIV in the LMFL boundary layer facility to determine all of the derivative moments needed to estimate the average dissipation rate of the turbulent kinetic energy, , and its Reynolds stress counterpart the dissipation tensor, . For this experiment, the Reynolds number was or . Part I of this contribution \cite{stanislas20} presented in short the experiment and discussed in detail the dissipation profile and all twelve derivative moments required to compute it. The data were compared to a channel flow DNS at approximately the same Reynolds number and to previous results. They were also used to evaluate recent theoretical results for the overlap region. In this Part II the experimental and DNS results are used to evaluate the assumptions of `local isotropy', `local…
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 · Wind and Air Flow Studies · Plant Water Relations and Carbon Dynamics
