No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Determination of the decay exponent in mechanically stirred isotropic turbulence
2. J. B. Perot, S. Natu, “A model for the dissipation tensor in inhomogeneous and anisotropic turbulence,” Phys. Fluids. 16 (11), 4053–4065 (2004).
6. A. N. Kolmogorov, “On degeneration of isotropic turbulence in an incompressible viscous liquid,” Dokl. Akad. Nauk. SSSR 31, 538 (1941).
11. B. Launder, B. Sharma, “Application of the energy dissipation model of turbulence to the calculation of flow near a spinning disc,” Lett. Heat and Mass transfer 1, 131–138 (1974).
12. C. K. G. Lam, K. Bremhorst, “A modified form of the k-e model for predicting wall turbulence,” ASME Journal Fluid Engineering 103, 456 (1981).
13. M. K. Chung, S. K. Kim, “A nonlinear return-to-isotropy model with Reynolds number and anisotropy dependency,” Phys. Fluids 7 (6), 1425–1437 (1995).
16. P. Burattini, P. Lavoie, A. Agrawal, L. Djenidi, R. A. Antonia, “Power law of decaying homogeneous isotropic turbulence at low Reynolds number,” Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 73 (6), 066304 (2006).
17. J. R. Chasnov, “Computation of the Loitsianski integral in decaying isotropic turbulence,” Physics of Fluids 5, 2579–2581 (1993).
18. M. Lesieur, Turbulence in Fluids, (Martinus Nijhoff Pulishers, Dordrecht, Netherlands, 130–135, 1987).
19. P. A. Davidson, Turbulence: An Introduction for Scientists and Engineers, (Oxford University Press, ISBN 019852949, 2004).
24. J. C. Bennett, S. Corrsin, “Small Reynolds number nearly isotropic turbulence in a straight duct and a contraction,” Phys. Fluids 21, 2129–2140 (1978).
27. L. Agostini, J. Bass, “Les théories de la turbulence,” Publ. Sci. Tech. Ministere de Air, Paris 237, MR, 11, 751 (1950).
28. J. B. Perot, P. Moin, “Shear-free turbulent boundary layers, Part II: New concepts for Reynolds stress transport equation modeling of inhomogeneous flows,” J. Fluid Mech. 295. 229–245 (1995).
33. J. B. Perot, J. Gadebusch, “A stress transport equation model for simulating turbulence at any mesh resolution,” Theoretical and Computational Fluid Dynamics. 23 (4), 271–286 (2009).
36. G. Comte-Bellot, S. Corrsin, “Simple Eulerian time correlation of full and narrow-band velocity signals in grid-generated isotropic turbulence,” J. Fluid Mech. 48, 273–337 (1971).
38. S. M. de Bruyn Kops, J. J. Riley, “Direct numerical simulation of laboratory experiments in isotropic turbulence,” Phys. Fluids 10 (9), 2125–2127 (1998).
40. S. Menon, J. B. Perot, “Implementation of an efficient conjugate gradient algorithm for Poisson solutions on graphics processors,” (Proceedings of the 2007 Meeting of the Canadian CFD Society, Toronto Canada, June, 2007)
41. M.-J. Huang, A. Leonard, “Power-law decay of homogeneous turbulence at low Reynolds numbers,” Phys. Fluids 6 (11), 3765–3775 (1994).
43. J. R. Chasnov, “Decaying turbulence in two and three dimensions,” (Advances in DNS/LES, Greyden Press, Columbus, Ohio, 1997)
44. P. Lavoie, P. Burattini, L. Djenidi, R. A. Antonia, “Effect of initial conditions on decaying grid turbulence at low Re,” Experiments in Fluids 39 (5), 865–874 (2005).
Article metrics loading...
Direct numerical simulation is used to investigate the decay exponent of isotropic homogeneous turbulence over a range of Reynolds numbers sufficient to display both high and low Re number decay behavior. The initial turbulence is generated by the stirring action of the flow past many small randomly placed cubes. Stirring occurs at 1/30th of the simulation domain size so that the low-wavenumber and large scale behavior of the turbulent spectrum is generated by the fluid and is not imposed. It is shown that the decay exponent in the resulting turbulence matches the theoretical predictions for a k2 low-wavenumber spectrum at both high and low Reynolds numbers. The transition from high Reynolds number behavior to low Reynolds number behavior occurs relatively abruptly at a turbulentReynolds number of around 250 ().
Full text loading...
Most read this month