Optimal white-noise stochastic forcing for
linear models of turbulent channel flow
linear models of turbulent channel flow
Author(s)
Holford, Jacob
Lee, Myoungkyu
Hwang, Yongyun
Type
Journal Article
Abstract
In the present study an optimisation problem is formulated to determine the forcing of an eddy-viscosity-based linearised Navier–Stokes model in channel flow at Reτ≈5200 ( Reτ is the friction Reynolds number), where the forcing is white-in-time and spatially decorrelated. The objective functional is prescribed such that the forcing drives a response to best match a set of velocity spectra from direct numerical simulation (DNS), as well as remaining sufficiently smooth. Strong quantitative agreement is obtained between the velocity spectra from the linear model with optimal forcing and from DNS, but only qualitative agreement between the Reynolds shear stress co-spectra from the model and DNS. The forcing spectra exhibit a level of self-similarity, associated with the primary peak in the velocity spectra, but they also reveal a non-negligible amount of energy spent in phenomenologically mimicking the non-self-similar part of the velocity spectra associated with energy cascade. By exploiting linearity, the effect of the individual forcing components is assessed and the contributions from the Orr mechanism and the lift-up effect are also identified. Finally, the effect of the strength of the eddy viscosity on the optimisation performance is investigated. The inclusion of the eddy viscosity diffusion operator is shown to be essential in modelling of the near-wall features, while still allowing the forcing of the self-similar primary peak. In particular, reducing the strength of the eddy viscosity results in a considerable increase in the near-wall forcing of wall-parallel components.
Date Issued
2023-04-25
Date Acceptance
2023-03-08
Citation
Journal of Fluid Mechanics, 2023, 961, pp.1-40
ISSN
0022-1120
Publisher
Cambridge University Press
Start Page
1
End Page
40
Journal / Book Title
Journal of Fluid Mechanics
Volume
961
Copyright Statement
© The Author(s), 2023. Published by Cambridge University Press. This article has been published in a revised form in Journal of Fluid Mechanics https://doi.org/10.1017/jfm.2023.234. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works.
Identifier
https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/optimal-whitenoise-stochastic-forcing-for-linear-models-of-turbulent-channel-flow/3732CA18B7FA9AC4D19E992F1A926BB2
Publication Status
Published
Date Publish Online
2023-04-25