TY - JOUR
T1 - High-order incompressible large-eddy simulation of fully inhomogeneous turbulent flows
AU - Shetty, Dinesh A.
AU - Fisher, Travis C.
AU - Chunekar, Aditya R.
AU - Frankel, Steven H.
N1 - Funding Information:
This work is partially supported by NSF Grant Award No. CBET – 0651788 and NSF ERC on Compact and Efficient Fluid Power. We would also like to thank Dr. Roland Bouffanais, Massachusetts Institute of Technology and Dr. Emmanuel Leriche, Université Jean-Monnet, France for providing the data that have made the comparisons in this paper possible. We also thank Dr. Ju Zhang, University of Illinois Urbana-Champagne for the helpful discussions.
PY - 2010/11
Y1 - 2010/11
N2 - The subgrid-scale (SGS) eddy-viscosity model developed by Vreman [Phys. Fluids 16 (2004) 3670] and its dynamic version [Phys. Fluids 19 (2007) 065110] are tested in large-eddy simulations (LES) of the turbulent flow in an Re= 12,000 lid-driven cubical cavity by comparison to the direct numerical simulation (DNS) data of Leriche and Gavrilakis [Phys. Fluids 12 (2000) 1363]. This appears to be the first test of this class of model to flows without any homogeneous flow directions, which is typical of flows in complex geometries. Additional LES predictions at Re= 18,000 and Re= 22,000 are compared to the DNS data of Leriche [J. Sci. Comp. 27 (2006)]. The new LES framework yielded excellent agreement for both the mean velocity and Reynolds stress profiles and matches DNS data better than the more traditional Smagorinsky-based SGS models.
AB - The subgrid-scale (SGS) eddy-viscosity model developed by Vreman [Phys. Fluids 16 (2004) 3670] and its dynamic version [Phys. Fluids 19 (2007) 065110] are tested in large-eddy simulations (LES) of the turbulent flow in an Re= 12,000 lid-driven cubical cavity by comparison to the direct numerical simulation (DNS) data of Leriche and Gavrilakis [Phys. Fluids 12 (2000) 1363]. This appears to be the first test of this class of model to flows without any homogeneous flow directions, which is typical of flows in complex geometries. Additional LES predictions at Re= 18,000 and Re= 22,000 are compared to the DNS data of Leriche [J. Sci. Comp. 27 (2006)]. The new LES framework yielded excellent agreement for both the mean velocity and Reynolds stress profiles and matches DNS data better than the more traditional Smagorinsky-based SGS models.
KW - Driven cavity
KW - High-order finite difference
KW - Incompressible
KW - Large-eddy simulation
KW - Smagorinsky model
KW - Vreman model
KW - WENO
UR - http://www.scopus.com/inward/record.url?scp=77956903706&partnerID=8YFLogxK
U2 - 10.1016/j.jcp.2010.08.011
DO - 10.1016/j.jcp.2010.08.011
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AN - SCOPUS:77956903706
SN - 0021-9991
VL - 229
SP - 8802
EP - 8822
JO - Journal of Computational Physics
JF - Journal of Computational Physics
IS - 23
ER -