Bulletin of the American Physical Society
75th Annual Meeting of the Division of Fluid Dynamics
Volume 67, Number 19
Sunday–Tuesday, November 20–22, 2022; Indiana Convention Center, Indianapolis, Indiana.
Session U08: Boundary Layers: Pressure Gradient
8:00 AM–10:36 AM,
Tuesday, November 22, 2022
Room: 135
Chair: Ricardo Vinuesa, KTH Royal Institute of Technology
Abstract: U08.00001 : Large-eddy simulation of the Boeing speed bump with slip-wall boundary conditions*
8:00 AM–8:13 AM
Presenter:
Michael P Whitmore
(Center for Turbulence Research, Stanford University)
Authors:
Michael P Whitmore
(Center for Turbulence Research, Stanford University)
Sanjeeb T Bose
(Stanford University, Cascade Technologies)
Parviz Moin
(Center for Turbulence Research, Stanford University)
Traditional wall models for large-eddy simulation (LES) rely on Reynolds-averaged Navier-Stokes (RANS) closure models to provide wall-stress boundary conditions to the LES equations. The slip wall boundary condition is derived explicitly from the LES constitutive equations and does not assume an attached boundary layer profile as is common in equilibrium boundary layer approximations (Bose & Moin, Phys. Fluids, 2014). This enables slip wall models to provide enhanced predictive capability in complex and separated flows where the thin boundary layer equations become invalid.
In this study, the high Reynolds number flow over a Gaussian bump (Boeing speed bump), with favorable and adverse pressure gradients, and turbulent separation and reattachment, is computed with a wall-modeled LES. Grid convergence of the solutions is achieved with the slip wall model for a spanwise-periodic domain section at Re=2M and simulations of a finite-span domain at Re=3.4M (aspect ratio ~ 1.0) are in agreement with recent experimental skin friction data (Gray et al., 2022). Results of the slip wall model predict a robust separation across grids while those of the equilibrium wall model with standard subgrid-scale models show a spuriously diminished separation on intermediate grid resolutions.
*This work is supported by NASA grant 80NSSC20M0201 and from compute resources at Oak Ridge Leadership Computing Facility (DoE ALCC).
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