Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session F21: Boundary Layers: Modeling and Analysis
8:00 AM–9:57 AM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B309
Chair: George Park, University of Pennsylvania
Abstract ID: BAPS.2018.DFD.F21.2
Abstract: F21.00002 : Displacement thickness based recycling inflow generation method for spatially developing turbulent boundary layer simulations*
8:13 AM–8:26 AM
Presenter:
Samvit Kumar
(Department of Mechanical Engineering, Johns Hopkins University)
Authors:
Samvit Kumar
(Department of Mechanical Engineering, Johns Hopkins University)
Rajat Mittal
(Department of Mechanical Engineering, Johns Hopkins University)
Charles Vivant Meneveau
(Department of Mechanical Engineering, Johns Hopkins University)
An improved method for generation of turbulent inflow for simulations of developing boundary layers is presented, based on prior recycling methods for flow over smooth (Lund et al., 1998) and rough (Yang and Meneveau, 2015) surfaces. Both these methods rely on obtaining δ99 from the mean velocity profiles based on a velocity threshold. Being dependent on the profile shape, δ99 can be noisy and can suffer from large undesirable fluctuations, despite being time averaged. To cushion the effects of unusual mean velocity profiles, a profile-integrated quantity, like the displacement thickness (δ*), can be used instead of δ99. In the recycling method, velocities on a sample plane are rescaled and recycled back to the inlet, as the inflow velocity. A surface geometry dependent, roughness-length related scale is chosen to rescale the inner layer and δ* is chosen instead of δ99 as the length scale to rescale the outer layer. The blending function, dependent on both the inner and the outer length scales, is used to combine the two profiles, to obtain the inflow velocity. Since δ* depends on the profile shape, an iterative scheme is implemented. Several applications and test cases are presented.
*Research supported by the National Science Foundation (CBET-1738918)
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.F21.2
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