Intermittency and preferential transport of heat in a round jet

Chevray, R.; Tutu, N.K.

doi:10.1017/s0022112078002025

Cited by 178 publications

(99 citation statements)

References 19 publications

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“…32 In the literature, the intermittency of momentum and heat transport in turbulent round jets was for instance studied by Chevray & Tutu. 33 The intermittency of the noise emission in subsonic jets was also shown by Juvé et al 20 thanks to the use of a conditional sampling procedure in the calculation of cross-correlations between far-field acoustic pressure at 30 o to the jet direction and velocity fluctuations in a M = 0.4 jet.…”

Section: Intermittencymentioning

confidence: 67%

Investigation of sound sources in subsonic jets using causality methods on LES data

Bogey

Bailly

2005

11th AIAA/CEAS Aeroacoustics Conference

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Noise sources are investigated in subsonic jets at Mach numbers M = 0.6 and M = 0.9, with Reynolds numbers ReD = 1700 and ReD ≥ 10 5 , using data provided by Large Eddy Simulations (LES). The cross-correlations between signals of the radiated sound pressure and turbulence signals along jet axis and shear layer are in particular calculated. The normalized correlations are found to be significant, around 0.10, between the pressure radiated in the downstream direction and the centerline flow quantities. In the cases involving the sideline pressure or flow quantities along the shear layer, the correlations are much smaller. The maximum correlations are observed on the jet axis just at the end of the potential core, and fall at large emission angles. Furthermore the correlations appear to be lower as the Mach number is reduced, and to be enhanced as the Reynolds number is decreased. These correlations can be expected to be mostly due to the noise source radiating downstream, which may thus be located on the jet centerline at the end of the potential core. This flow region is moreover characterized by a dominant frequency over a large axial distance and by a high level of intermittency.

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Section: Intermittencymentioning

confidence: 67%

Investigation of sound sources in subsonic jets using causality methods on LES data

Bogey

Bailly

2005

11th AIAA/CEAS Aeroacoustics Conference

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“…In the figure, other researchers' profiles are also shown. Chevray and Tutu (10) measured the temperature (Pr = 0.7) and Panchapakesan and Lumley (8) measured the concentration of the helium gas (Sc = 0.7). The present data show almost the same profiles as other researchers' ones for both u and c .…”

Section: Journal Of Fluid Science and Technologymentioning

confidence: 99%

Derivative Statistics of Axial Velocity and Passive Scalar in the Jet Diffusion Field of High-Schmidt-Number Matter

Sakai

Uchida

Kubo

et al. 2008

JFST

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In this study, a water solution of dye (whose Schmidt number Sc is about 3,800) was issued into the quiescent water as an axisymmetric turbulent jet and the simultaneous measurements of axial velocity and concentration have been performed using the combined probe of I-type hot-film and fiber-optic concentration sensor based on the Lambert-Beer's law. Then we calculated the PDF (Probability Density Function) for the streamwise velocity derivative ∂u/∂x and streamwise concentration derivative ∂c/∂x. It was confirmed that the PDFs for ∂u/∂x skew negatively, and the values of skewness (S ∂u/∂x ) and flatness factor (F ∂u/∂x ) are consistent with the other researcher's data (see Sreenivasan and Antonia, Annual Review of Fluid Mechanics, Vol.29, 1997, where the extensive past data of turbulent velocity and temperature (whose Prandtl number is Pr = 0.7) fields are summarized). However, with regard to the PDFs for ∂c/∂x, the skewness (S ∂c/∂x ) show the values very close to zero, unlikely the past other data of the temperature fields which show the magnitude of 0.5 ∼ 1.0. On the other hand, the flatness factor (F ∂c/∂x ) show the values of 7.0 ∼ 8.0 which are consistent with the temperature fields. This result suggests that the fine-scale structure of a highSchmidt-number diffusion field is almost isotropic although it is intermittent.

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“…The 4 first intermittency measurements for a turbulent wake generated by a circular object were undertaken by Townsend (1948) and a similar technique was also used by Corrsin and Kistler (1955) to measure the intermittency in a round jet, and by Klebanoff (1955) in a boundary layer with zero pressure gradient. Wygnanski and Fielder (1969) reported the measurements for a jet using velocity gradients with respect to time with a similar technique applied by Chevray and Tutu (1978) to measure the intermittency of a jet. Bilger et al (1976) proposed a method using probability density functions (pdf) to overcome some of the difficulties encountered for the calculation of intermittency by the previous investigators.…”

Section: Introductionmentioning

confidence: 99%

“…Nakamura et al (1989) and Schefer and Dibble (2001) adopted Bilger's method to evaluate intermittency for their experiments. Major theoretical work on intermittent flows was initially carried out by Libby (1975), Dopazo (1977), and Chevray and Tutu (1978). Later, Sreenivasan (1985), Jimenez (2000), Gibbson and Doering (2003) and Li and Meneveau (2006) derived various theoretical explanations for turbulent intermittency.…”

Section: Introductionmentioning

confidence: 99%