Direct numerical simulations are performed for incompressible, turbulent channel flow over a smooth wall and different sinusoidal wall roughness configurations at a constant Formula Presented. Sinusoidal walls are used to study the effects of well-defined geometric features of roughness-amplitude, Formula Presented, and wavelength, Formula Presented, on the flow. The flow in the near-wall region is strongly influenced by both Formula Presented and Formula Presented. Establishing appropriate scaling laws will aid in understanding the effects of roughness and identifying the relevant physical mechanisms. Using inner variables and the roughness function to scale the flow quantities provides support for Townsend's hypothesis, but inner scaling is unable to capture the flow physics in the near-wall region. We provide modified scaling relations considering the dynamics of the shear layer and its interaction with the roughness. Although not a particularly surprising observation, this study provides clear evidence of the dependence of flow features on both Formula Presented and Formula Presented. With these relations, we are able to collapse and/or align peaks for some flow quantities and, thus, capture the effects of surface roughness on turbulent flows even in the near-wall region. The shear-layer scaling supports the hypothesis that the physical mechanisms responsible for turbulent kinetic energy production in turbulent flows over rough walls are greatly influenced by the shear layer and its interaction with the roughness elements. Finally, a semiempirical model is developed to predict the contribution of pressure and skin friction drag on the roughness element based purely on its geometric parameters and the corresponding shear-layer velocity scale.
|Journal||Journal of Fluid Mechanics|
|State||Published - Apr 25 2022|
Bibliographical noteFunding Information:
This work was supported by funding from the National Science Foundation under award CBET-1706346 with Dr R. Joslin as Program Manager. Computational time was provided by the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562 (Towns et al. ). Research was conducted using the Stampede2 and Comet HPC systems through allocation TG-CTS180008. We would also like to thank the University of Kentucky Center for Computational Sciences and Information Technology Services Research Computing for their support and use of the Lipscomb Compute Cluster and associated research computing resources.
© The Author(s), 2022. Published by Cambridge University Press.
- channel flow
- turbulence simulation
ASJC Scopus subject areas
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering