An input-output based analysis of convective velocity in turbulent channels
Chang Liu, Dennice F. Gayme

TL;DR
This study introduces an input-output framework to analyze convective velocities in turbulent channel flows, revealing how large-scale structures and viscous effects influence local flow behavior across different scales.
Contribution
It develops a novel input-output based analytical method to compute and interpret convective velocities in turbulent flows using only mean velocity profiles.
Findings
Convective velocities align with previous literature.
Large-scale structures influence near-wall convective velocities.
Viscous effects significantly impact large flow structures.
Abstract
This paper employs an input-output based approach to analyze convective velocities and the transport of fluctuations in turbulent channel flows. The convective velocity for a fluctuating quantity associated with streamwise-spanwise wavelength pairs at each wall-normal location is obtained through the maximization of the power spectral density associated with the linearized Navier-Stokes equations with a turbulent mean profile and delta-correlated Gaussian forcing. We first demonstrate that the mean convective velocities computed in this manner agree well with those reported previously in the literature. We then exploit the analytical framework to probe the underlying mechanisms contributing to the local convective velocity at different wall-normal locations by isolating the contributions of each spanwise-streamwise wavelength pair (flow scale). The resulting analysis suggests that the…
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.
