Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-25T08:23:31.378Z Has data issue: false hasContentIssue false

A Mathematical Analysis of Scale Similarity

Published online by Cambridge University Press:  05 December 2016

Z. J. Wang*
Affiliation:
Department of Aerospace Engineering, University of Kansas, 2120 Learned Hall, Lawrence, KS 66045, USA
Yanan Li*
Affiliation:
Department of Aerospace Engineering, University of Kansas, 2120 Learned Hall, Lawrence, KS 66045, USA
*
*Corresponding author. Email addresses:[email protected] (Z. J.Wang), [email protected] (Y. Li)
*Corresponding author. Email addresses:[email protected] (Z. J.Wang), [email protected] (Y. Li)
Get access

Abstract

Scale similarity is found in many natural phenomena in the universe, from fluid dynamics to astrophysics. In large eddy simulations of turbulent flows, some sub-grid scale (SGS) models are based on scale similarity. The earliest scale similarity SGS model was developed by Bardina et al., which produced SGS stresses with good correlation to the true stresses. In the present study, we perform a mathematical analysis of scale similarity. The analysis has revealed that the ratio of the resolved stress to the SGS stress is γ2, where γ is the ratio of the second filter width to the first filter width, under the assumption of small filter width. The implications of this analysis are discussed in the context of large eddy simulation.

Type
Research Article
Copyright
Copyright © Global-Science Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Bardina, J, Ferziger, JH, Reynolds, WC. 1980. Improved subgrid scale models for large eddy simulation. Am. Inst. Aeronaut. Astronaut. Pap. 80-1357.CrossRefGoogle Scholar
[2] Boris, JP, Grinstein, FF, Oran, ES and Kolbe, RL. 1992. New insight into large eddy simulation. Fluid Dyn. Res. 10:199228.Google Scholar
[3] Cockburn, B, Karniadakis, GE, Shu, CW (eds). Discontinuous Galerkin Methods. Theory, Computation and Applications. Lecture Notes in Computational Science and Engineering 11. Springer-Verlag, Berlin, 2000.Google Scholar
[4] Cook, AW. 1997. Determination of the constant coefficient in scale similarity models of turbulence. Phys. Fluids 9:14851487.Google Scholar
[5] Deardorff, J. 1970. A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers. J. Fluid Mech. 41(2):453480.Google Scholar
[6] Erlebacher, G, Hussaini, MY, Speziale, CG, Zang, TA. 1992. Toward the large-eddy simulation of compressible turbulent flows. J. Fluid Mech. 238:155185.CrossRefGoogle Scholar
[7] Fureby, C, Tabor, G, Weller, HG, Gosman, AD. 1997. A comparative study of subgrid-scale models in homogeneous isotropic turbulence. Phys. Fluids 9:14161429.Google Scholar
[8] Germano, M, Piomelli, U, Moin, P, Cabot, WH. 1991. A dynamic subgrid-scale eddy viscosity model. Phys. Fluids A 3:17601765.Google Scholar
[9] Grinstein, F, Margolin, L, Rider, W. 2007. Implicit Large Eddy Simulation. Cambridge University Press.Google Scholar
[10] Huynh, HT. 2007. A flux reconstruction approach to high-order schemes including discontinuous Galerkin methods. AIAA Paper 2007-4079.Google Scholar
[11] Jaberi, FA, James, S. 1998. A dynamic similarity model for large eddy simulation of turbulent combustion. Phys. Fluids 10:17751777.Google Scholar
[12] Lesieur, M, Metais, O. 1996. New trends in large-eddy simulations of turbulence. Annu. Rev. Fluid Mech. 28:4582.Google Scholar
[13] Li, Y, Wang, ZJ. 2015. A priori and a posteriori evaluations of subgrid stress models with the Burgers’ equation. AIAA-2015-1283.Google Scholar
[14] Lilly, DK. 1967. The representation of small-scale turbulence in numerical simulation experiments. Proc. IBM Scientific Computing Symp. on Environmental Sciences (Yorktown Heights, New York). Goldstine, HH (ed). IBM form no. 320-1951, p 195.Google Scholar
[15] Liu, S, Meneveau, C, Katz, J. 1994. On the properties of similarity subgrid-scale models as deduced from measurements in a turbulent jet. J. Fluid Mech. 275:83119.Google Scholar
[16] Meneveau, C, Katz, J. 2000. Scale-invariance and turbulence models for large eddy simulation. Annu. Rev. Fluid Mech. 32:132.Google Scholar
[17] Pope, SB. 2004. Ten questions concerning the large eddy simulation of turbulent flows. New J. Phys. 6:124.Google Scholar
[18] Sarghini, F, Piomelli, U, Balaras, E. 1999. Scale similar models for large-eddy simulations. Phys. Fluids. 11:15961607.Google Scholar
[19] Smagorinsky, J. 1963. General circulation experiments with the primitive equations. I. The basic experiment. Mon. Weather Rev. 91:99.Google Scholar
[20] Speziale, CG. 1985. Galilean invariance of subgrid-scale stress models in LES of turbulence. J. Fluid Mech. 156:5562.Google Scholar
[21] Wang, ZJ, Gao, H. 2009. A unifying lifting collocation penalty formulation including the discontinuous Galerkin, spectral volume/difference methods for conservation laws on mixed grids. J. Comput. Phys. 228:81618186.Google Scholar