Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session J16: CFD: Uncertainty Quantification, RANS Modeling
4:35 PM–6:32 PM,
Sunday, November 19, 2023
Room: 145A
Chair: Robert Kunz, Penn State
Abstract: J16.00008 : Implementation and Assessment of Roughness Modifications to 2-equation, 4-equation and Full Reynolds Stress Models
6:06 PM–6:19 PM
Presenter:
VISHAL WADHAI
(Pennsylvania State University)
Authors:
VISHAL WADHAI
(Pennsylvania State University)
Shyam Nair
(Penn State Department of Mechanical Engineering)
Xiang Yang
(Penn State Department of Mechanical Engineering)
Robert F Kunz
(Penn State)
alent sand grain roughness height (ks) based Reynolds-Averaged Navier-Stokes (RANS) models
are promising candidates due to their reasonable accuracy and low computational cost. We con-
sider three sublayer resolved turbulence models, Chien’s low Reynolds number k − ε, Durbin’s
k − ε − ̄v2 − f , and the SSG/LRR Full Reynolds Stress Model (FRSM), for rough wall appli-
cation. In RANS modeling of rough wall flows, surface roughness effects can be introduced in
turbulence models through a single parameter, ks. For example, a roughness-modified version of
Chien’s low Re k − ε turbulence model is available in the literature. In this work, we modify a
̄v2 − f and FRSM to accommodate surface-parameterized roughness. The roughness effects are
introduced in the ̄v2 − f model by modifying the wall boundary conditions as well as governing
equations, whereas FRSM is modified by altering wall boundary conditions alone. At first, we
demonstrate the smooth wall performance of the aforementioned turbulence models at both low
and high Reynolds numbers, and next, we compare the performance of the roughness-modified
versions of these models against results obtained from low Reynolds number Direct Numerical
Simulations (DNS) and high Reynolds number experiments.
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