Data-driven decomposition of the streamwise turbulence kinetic energy in boundary layers. Part 2. Integrated energy and $A_1$
Woutijn J. Baars, Ivan Marusic

TL;DR
This paper analyzes the scaling of streamwise turbulence intensity in turbulent boundary layers using spectral decomposition, providing insights into attached eddy contributions and estimating the Townsend–Perry constant.
Contribution
It introduces a spectral decomposition method to separate turbulence components and estimates the Townsend–Perry constant from turbulence intensity profiles across Reynolds numbers.
Findings
Identification of three spectral sub-components of turbulence energy.
Evidence supporting a Townsend–Perry constant of approximately 0.98.
Reynolds number trends consistent with attached-eddy hypothesis.
Abstract
Scalings of the streamwise velocity energy spectra in turbulent boundary layers were considered in Part 1. A spectral decomposition analysis provided a means to separate out attached and non-attached eddy contributions and was used to generate three spectral sub-components, one of which is a close representation of the spectral signature induced by self-similar, wall-attached turbulence. Since sub-components of the streamwise turbulence intensity follow from an integration of the velocity energy spectra, we here focus on the scaling of the former. Wall-normal profiles and Reynolds number trends of the three individual, additive sub-components of the streamwise turbulence intensity are examined. This allows for revisiting the scaling of the turbulence intensity in more depth, in comparison to evaluating the total streamwise turbulence intensity. Based on universal trends…
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.
