Abstract
In the present study, improved two-parameter mixed models for large eddy simulations are proposed based on previous two-parameter mixed models of Salvetti and Banerjee [1] and Horiuti [2]. The subgrid-scale (SGS) stress in our models is decomposed into the modified Leonard stress, modified cross stress and modified SGS Reynolds stress terms. Although the modified Leonard stress term is explicitly calculated based on the scale-similarity, the modified cross stress term is built using an extension of the filtered Bardina model proposed by Horiuti [3] for better predictions of the interaction between resolved and unresolved scales (i.e., energy exchange). The modified SGS Reynolds stress is modeled by the dynamic Smagorinsky model or by a dynamic global model, leading to two unknown model coefficients for the modified cross stress and the modified SGS Reynolds stress terms. In order to demonstrate the reliability of the proposed SGS models, large eddy simulations of two types of flows (i.e., a fully developed turbulent channel flow and a transitional boundary layer flow) are performed. It is shown that the modified cross stress term makes an important contribution to the accurate predictions of such flows because the emergence of negative SGS dissipation (backward scatter) by the modified cross stress term decreases the excessive positive SGS dissipation (forward scatter). A direct comparison of the turbulent statistics with those from previous SGS models shows that the proposed SGS models result in better prediction performance both in transitional and turbulent flows.
Similar content being viewed by others
References
M. V. Salvetti and S. Banerjee, A priori tests of a new dynamic subgrid-scale model for finite-difference large-eddy simulations, Phys. Fluids, 7 (11) (1995) 2831–2847.
K. Horiuti, A new dynamic two-parameter mixed model for large-eddy simulation, Phys. Fluids, 9 (11) (1997) 3443–3464.
K. Horiuti, Backward scatter of subgrid-scale energy in wallbounded and free shear turbulence, J. Phys. Soc. Jpn., 66 (1) (1997) 91–107.
J. Smagorinsky, General circulation experiments with the primitive equations. I. The basic experiment, Mon. Weather Rev., 91 (3) (1963) 99–164.
J. W. Deardorff, A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers, J. Fluid Mech., 41 (2) (1970) 453–480.
Y. Zang, R. L. Street and J. R. Koseff, A dynamic mixed subgrid-scale model and its application to turbulent recirculating flows, Phys. Fluids, 5 (12) (1993) 3186–3196.
M. Germano, U. Piomelli, P. Moin and W. H. Cabot, A dynamic subgrid-scale eddy viscosity model, Phys. Fluids, 3 (7) (1991) 1760–1765.
W. Cabot, Large eddy simulation of passive and buoyant scalars with dynamic subgrid-scale models, Annual Research Briefs, Center for Turbulence Research, Stanford University/ NASA-Ames (1991) 191–205.
A. W. Vreman, An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and application, Phys. Fluids, 16 (10) (2004) 3670–3681.
N. Park, S. Lee, J. Lee and H. Choi, A dynamic subgrid-scale eddy viscosity model with a global model coefficient, Phys. Fluids, 18 (12) (2006) 125109.
J. Lee, H. Choi and N. Park, Dynamic global model for large eddy simulation of transient flow, Phys. Fluids, 22 (7) (2010) 075106.
G. Comte-Bellot and S. Corrsin, Simple Eulerian time correlation of full-and narrow-band velocity signals in grid-generated, ‘isotropic’ turbulence, J. Fluid Mech., 48 (2) (1971) 273–337.
H. S. Kang, S. Chester and C. Meneveau, Decaying turbulence in an active-grid-generated flow and comparisons with large-eddy simulation, J. Fluid Mech., 480 (2003) 129–160.
R. A. Clark, J. H. Ferziger and W. C. Reynolds, Evaluation of subgrid-scale models using an accurately simulated turbulent flow, J. Fluid Mech., 91 (1) (1979) 1–16.
U. Piomelli, High Reynolds number calculations using the dynamic subgrid-scale model, Phys. Fluids, 5 (6) (1993) 1484–1490.
J. Bardina, Improved turbulence models based on large eddy simulation of homogeneous, incompressible turbulent flows, Ph.D. Dissertation, Stanford University (1983).
K. Horiuti, The role of the Bardina model in large eddy simulation of turbulent channel flow, Phys. Fluids, 1 (2) (1989) 426–428.
C. G. Speziale, Galilean invariance of subgrid-scale stress models in the large-eddy simulation of turbulence, J. Fluid Mech., 156 (1985) 55–62.
M. Germano, A proposal for a redefinition of the turbulent stresses in the filtered Navier-Stokes equations, Phys. Fluids, 29 (7) (1986) 2323–2324.
T. Sayadi and P. Moin, Large eddy simulation of controlled transition to turbulence, Phys. Fluids, 24 (11) (2012) 114103.
D. Carati, G. S. Winckelmans and H. Jeanmart, On the modelling of the subgrid-scale and filtered-scale stress tensors in large-eddy simulation, J. Fluid Mech., 441 (2001) 119–138.
G. S. Winckelmans, A. A. Wray, O. V. Vasilyev and H. Jeanmart, Explicit-filtering large-eddy simulation using the tensordiffusivity model supplemented by a dynamic Smagorinsky term, Phys. Fluids, 13 (5) (2001) 1385–1403.
F. K. Chow, R. L. Street, M. Xue and J. H. Ferziger, Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow, J. Atmos. Sci., 62 (7) (2005) 2058–2077.
J. Gullbrand and F. K. Chow, The effect of numerical errors and turbulence models in large-eddy simulations of channel flow, with and without explicit filtering, J. Fluid Mech., 495 (2003) 323–341.
F. M. Najjar and D. K. Tafti, Study of discrete test filters and finite difference approximations for the dynamic subgrid scale stress model, Phys. Fluids, 8 (4) (1996) 1076–1088.
K. Kim, S. J. Baek and H. J. Sung, An implicit velocity decoupling procedure for the incompressible Navier-Stokes equations, Intl. J. Numer. Meth. Fluids, 38 (2) (2002) 125–138.
J. Bardina, J. H. Ferziger and W. C. Reynolds, Improved Turbulence Models based on LES of Homogeneous Incompressible Turbulent Flow, Report No. TF-19, Department of Mechanical Engineering, Stanford Univ. (1984).
K. Horiuti, Assessment of the generalized scale-similarity model in homogeneous turbulence subjected to rotation, Recent Advances in DNS and LES, Springer, Dordrecht, 54 (1999) 179–189.
S. Liu, C. Meneveau and J. Katz, On the properties of similarity subgrid-scale models as deduced from measurements in a turbulent jet, J. Fluid Mech., 275 (1994) 83–119.
D. K. Lilly, A proposed modification of the Germano subgridscale closure method, Phys. Fluids, 4 (3) (1992) 633–635.
Y. Morinishi and O. V. Vasilyev, A recommended modification to the dynamic two-parameter mixed subgrid scale model for large eddy simulation of wall bounded turbulent flow, Phys. Fluids, 13 (11) (2001) 3400–3410.
T. S. Lund and H. J. Kaltenbach, Experiments with explicit filtering for LES using a finite-difference method, Annual Research Briefs, Center for Turbulence Research, Stanford University/ NASA-Ames (1995) 91–105.
S. T. Bose and P. Moin, A class of dynamic mixed models for explicitly filtered LES, Annual Research Briefs, Center for Turbulence Research, Stanford University/NASA-Ames (2010) 223–236.
S. T. Bose, P. Moin and D. You, Grid-independent large-eddy simulation using explicit filtering, Phys. Fluids, 22 (10) (2010) 105103.
C. Härtel, L. Kleiser, F. Unger and R. Friedrich, Subgrid scale energy transfer in the near wall region of turbulent flows, Phys. Fluids, 6 (9) (1994) 3130–3143.
U. Piomelli, T. A. Zang, C. G. Speziale and M. Y. Hussaini, On the large eddy simulation of transitional wall bounded flows, Phys. Fluids, 2 (2) (1990) 257–265.
U. Piomelli, W. H. Cabot, P. Moin and S. Lee, Subgrid scale backscatter in turbulent and transitional flows, Phys. Fluids, 3 (7) (1991) 1766–1771.
R. S. Rogallo and P. Moin, Numerical simulation of turbulent flows, Annu. Rev. Fluid Mech., 16 (1) (1984) 99–137.
P. Schlatter and R. Örlü, Turbulent boundary layers at moderate Reynolds numbers: inflow length and tripping effects, J. Fluid Mech., 710 (2012) 5–34.
R. G. Jacobs and P. A. Durbin, Simulations of bypass transition, J. Fluid Mech., 428 (2001) 185–212.
A. Monokrousos, L. Brandt, P. Schlatter and D. S. Henningson, DNS and LES of estimation and control of transition in boundary layers subject to free-stream turbulence, Intl. J. Heat Fluid Flow, 29 (3) (2008) 841–855.
F. E. Ham, F. S. Lien, X. Wu, M. Wang and P. Durbin, LES and unsteady RANS of boundary layer transition induced by periodically passing waves, Proceeding of Summer Program, Center for Turbulence Research, Stanford University/NASA Ames Research Center (2000) 249–260.
M. M. Rai and P. Moin, Direct numerical simulation of transition and turbulence in a spatially evolving boundary layer, J. Comput. Phys., 109 (2) (1993) 169–192.
P. R. Spalart, Direct simulation of a turbulent boundary layer up to Rθ=1410, J. Fluid Mech., 187 (1988) 61–98.
Q. Li, P. Schlatter, L. Brandt and D. S. Henningson, DNS of a spatially developing turbulent boundary layer with passive scalar transport, Intl. J. Heat Fluid Flow, 30 (5) (2009) 916–929.
A. J. Smits, N. Matheson and P. N. Joubert, Low-Reynoldsnumber turbulent boundary layers in zero and favorable pressure gradients, J. Ship Res., 27 (3) (1983) 147–157.
Y. Zhao, Z. Xia, Y. Shi, Z. Xiao and S. Chen, Constrained large-eddy simulation of laminar-turbulent transition in channel flow, Phys. Fluids, 26 (9) (2014) 095103.
S. K. Robinson, Coherent motions in the turbulent boundary layer, Annu. Rev. Fluid Mech., 23 (1) (1991) 601–639.
Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science, ICT and Future Planning (NRF-2017R1A5A1015311).
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Editor Yang Na
Young Mo Lee received M.S. in Aerospace System Engineering from University of Science and Technology (UST), Korea, in 2016. He is a doctoral candidate in Mechanical Engineering at Ulsan National Institute of Science and Technology (UNIST), Korea.
Jae Hwa Lee received Ph.D. in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST) in 2012. He is currently an Associate Professor in the Department of Mechanical Engineering at Ulsan National Institute of Science and Technology (UNIST), Korea.
Rights and permissions
About this article
Cite this article
Lee, Y.M., Hwang, H.G., Lee, J.H. et al. Assessment of two-parameter mixed models for large eddy simulations of transitional and turbulent flows. J Mech Sci Technol 34, 727–743 (2020). https://doi.org/10.1007/s12206-020-0119-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-020-0119-2