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Direct numerical simulation of a turbulent boundary layer over a bump with strong pressure gradients

Published online by Cambridge University Press:  07 May 2021

Riccardo Balin*
Affiliation:
Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
K.E. Jansen
Affiliation:
Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
*
Email address for correspondence: riccardo.balin@colorado.edu

Abstract

The turbulent boundary layer over a Gaussian-shaped bump is computed by direct numerical simulation of the incompressible Navier–Stokes equations. The two-dimensional bump causes a series of strong pressure gradients alternating in rapid succession. At the inflow, the momentum thickness Reynolds number is approximately $1000$ and the boundary layer thickness is $1/8$ of the bump height. Direct numerical simulation results show that the strong favourable pressure gradient (FPG) causes the boundary layer to enter a relaminarization process. The near-wall turbulence is significantly weakened and becomes intermittent, however, relaminarization does not complete. The streamwise velocity profiles deviate above the standard logarithmic law and the Reynolds shear stress is reduced. The strong acceleration also suppresses the wall-shear normalized turbulent kinetic energy production rate. At the bump peak, where the FPG switches to an adverse gradient (APG), the near-wall turbulence is suddenly enhanced through a partial retransition process. This results in a new highly energized internal layer which is more resilient to the strong APG and only produces incipient flow separation on the downstream side. In the strong FPG and APG regions, the inner and outer layers become largely independent of each other. The near-wall region responds to the pressure gradients and determines the skin friction. The outer layer behaves similarly to a free shear layer subject to pressure gradients and mean streamline curvature effects. Results from a RANS simulation of the bump are also discussed and clearly show the lack of predictive capacity of the near-wall pressure gradient effects on the mean flow.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1. The solid black curves outline the full domain of the bump flow, while the green curves show the boundary layer thickness on both no-slip walls predicted by preliminary RANS. The black dotted lines mark the modified inflow and top boundaries for the DNS.

Figure 1

Figure 2. Pressure coefficient (a) and skin friction coefficient (b) on the surface of the 2-D Gaussian bump computed with DNS and 2-D RANS. Pressure data extracted at the centreline from the experiments of Williams et al. (2020) at $Re_L=1.37 \times 10^6$ and from RANS simulation of the same 3-D geometry at $Re_L=1.0 \times 10^6$ are also shown for context.

Figure 2

Figure 3. Contours of instantaneous vorticity magnitude on the surface of the Gaussian bump (labelled by normalized streamwise position, wrapped near $x/L=-0.19$).

Figure 3

Figure 4. Variation of different boundary layer thickness measures (a) and shape factor $H$ and momentum thickness Reynolds number $Re_{\tilde {\theta }}$ (b) over the bump.

Figure 4

Figure 5. Variation of the non-dimensional surface and streamline curvature of the Gaussian bump. Negative values of $\hat {\kappa }$ and $\kappa ^+$ indicate convex curvature and vice versa.

Figure 5

Figure 6. Pressure gradient parameters $K$, $\varLambda$ and $\beta$ (a) and pressure gradient $\varDelta _p$ and shear stress gradient $\varDelta _\tau$ non-dimensionalized by inner units (b) over the bump.

Figure 6

Figure 7. Profiles of the streamwise velocity in the initial mild APG region. Panel (b) zooms into the logarithmic region of panel (a). The ZPG profiles are taken from the DNS of Jimenez et al. (2010) at $Re_\theta =1551$.

Figure 7

Figure 8. Profiles of the TKE (a) and Reynolds shear stress (b) in the initial mild APG region. The ZPG profiles are taken from the DNS of Jimenez et al. (2010) at $Re_\theta =1551$.

Figure 8

Figure 9. Instantaneous vorticity magnitude normalized by the local time- and spanwise-averaged wall vorticity at different locations within the boundary layer in the FPG region of the bump. From top to bottom, the heights above the wall of the slices are $n/\tilde {\delta }_{995}=0.01, 0.05, 0.1, 0.4$. The black vertical lines mark the streamwise location of key events of the flow.

Figure 9

Figure 10. Mean streamwise velocity profiles in the FPG region normalized by wall units. The ZPG profiles are taken from the DNS of Jimenez et al. (2010) at $Re_\theta =1551$.

Figure 10

Figure 11. Mean Reynolds stresses and TKE in the FPG region of the Gaussian bump normalized by $U_\infty$.

Figure 11

Figure 12. Mean TKE (a), Reynolds shear stress (b) and total shear stress (c) in the FPG region of the Gaussian bump normalized by wall units. The ZPG profiles are taken from the DNS of Jimenez et al. (2010) at $Re_\theta =1551$.

Figure 12

Figure 13. Correlation coefficient $C_\tau$ in the FPG region of the Gaussian bump.

Figure 13

Figure 14. Production rate of the TKE (a) and Reynolds shear stress (b) in the FPG region of the Gaussian bump non-dimensionalized by wall units. The vertical lines mark the boundary layer thickness $\tilde {\delta }_{995}$ for each streamwise location.

Figure 14

Figure 15. Instantaneous vorticity magnitude normalized by the local time- and spanwise-averaged wall vorticity at different locations within the boundary layer in the vicinity of the bump peak. From top to bottom, the heights above the wall of the slices are $n^+=5, 30, 100, 300$. The black vertical lines mark the location of key events of the flow.

Figure 15

Figure 16. Mean streamwise velocity profiles in the APG region normalized by wall units. The ZPG profiles are taken from the DNS of Jimenez et al. (2010) at $Re_\theta =1551$.

Figure 16

Figure 17. Mean Reynolds stresses and TKE in the APG region of the Gaussian bump normalized by $U_\infty$.

Figure 17

Figure 18. Correlation coefficient $C_\tau$ in the APG region of the Gaussian bump.