Model of fourth-order cumulants for description of turbulent transport by large-scale vortex structures

1999 ◽  
Vol 40 (5) ◽  
pp. 871-876 ◽  
Author(s):  
B. B. Ilyushin
2018 ◽  
Vol 11 (2) ◽  
pp. 31-39
Author(s):  
L. М. Chikishev ◽  
◽  
V. М. Dulin ◽  
A. S. Lobasov ◽  
D. М. Markovich ◽  
...  

2007 ◽  
Vol 42 (4) ◽  
pp. 571-580 ◽  
Author(s):  
V. M. Ponomarev ◽  
O. G. Chkhetiani ◽  
L. V. Shestakova

2000 ◽  
Vol 19 (6) ◽  
pp. 831-854 ◽  
Author(s):  
Viktor P. Goncharov ◽  
Vadim I. Pavlov

1989 ◽  
Vol 7 (3) ◽  
pp. 201-207 ◽  
Author(s):  
R. A. GORE ◽  
C. T. CROWE ◽  
N. KAMALU ◽  
T. R. TROUTT ◽  
J. J. RILEY

1992 ◽  
Vol 114 (4) ◽  
pp. 657-666 ◽  
Author(s):  
F. Wen ◽  
N. Kamalu ◽  
J. N. Chung ◽  
C. T. Crowe ◽  
T. R. Troutt

The dispersion of particles in a plane mixing layer between two air streams is investigated using experimental and numerical techniques. The results show that large-scale spanwise vortices strongly influence the particle dispersion process. Particles with aerodynamic response times on the order of the large scale vortex time scales are found to concentrate near the outer edges of the vortex structures. Time average velocity measurements also demonstrate that these particles tend to move away from the center of the mixing layer. Substantial changes in the lateral particle dispersion are producible by controlled forcing of the vortex structures. Comparisons between the experimental particle dispersion patterns and numerical simulations show striking similarities. A two-part model involving stretching and folding is suggested as a particle dispersion mechanism.


Author(s):  
Kun Luo ◽  
Jianren Fan ◽  
Kefa Cen

A direct numerical simulation technique combined with a two-way coupling method was developed to study a gas–solid turbulent jet with a moderately high Reynolds number. The flow was weakly compressible and spatially developing. A high-resolution solver was performed for the gas phase flow-field and the Lagrangian method was used to trace particles. The modulations on flow structures and other turbulent characteristics by particles at different Stokes numbers were investigated. It is found that the particles at Stokes numbers of 0.01 and 50 can advance the development of the large-scale vortex structures and make the turbulence intensity profiles wider and lower, but the particles at a Stokes number of 1 delay the evolution of the large-scale vortex structures and decrease the turbulence intensities. The jet velocity half-width and the decay of the streamwise mean velocity in the jet centreline are reduced by all particles, in which particles at a Stokes number of 0.01 result in a larger reduction of the velocity half-width and particles at a Stokes number of 1 lead to a larger reduction of the streamwise mean velocity decay. All particles decrease the vorticity thickness, but increase the fluid momentum thickness. In addition, the two-way coupled particle distribution is more uniform than that of the one-way coupled case.


2003 ◽  
Vol 6 (3) ◽  
pp. 303-311 ◽  
Author(s):  
V. F. Kopiev ◽  
M. Yu. Zaitsev ◽  
S. I. Inshakov ◽  
L. P. Guriashkin

2013 ◽  
Vol 8 (S300) ◽  
pp. 430-432
Author(s):  
Serge Koutchmy ◽  
Boris Filippov ◽  
Ehsan Tavabi ◽  
Cyril Bazin ◽  
Sylvain Weiller

AbstractBoth the origin of the quiescent prominences and their eruption related to CMEs are still a matter of extended studies. The small scale dynamic aspects like vortex structures and counter- flows are now seriously taken into account having in mind that the flows are a good proxy of the line of force of the omnipresent but rather unknown in detail force free or not magnetic field. Large scale vortex has been detected in a high latitude prominence observed on November 13- 14, 2011 before its eruption.


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