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Titlebook: Eddy Structure Identification in Free Turbulent Shear Flows; Selected Papers from J. P. Bonnet,M. N. Glauser Book 1993 Springer Science+Bus

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樓主: affront
31#
發(fā)表于 2025-3-27 00:55:24 | 只看該作者
https://doi.org/10.1007/978-3-642-57868-7characteristic feature in the time-histories of the streamwise (.) velocity fluctuations, at all radial positions throughout the boundary layer. The spikes represent “spots” of low-speed fluid, which appear to consist of inner-layer fluid that has been stripped away from the cylinder surface by larg
32#
發(fā)表于 2025-3-27 01:31:35 | 只看該作者
Lebensmittelrechtliche Situationed in the shear layer of the jet by controlled sinusoidal perturbations with two frequencies separated by one octave. The phase averaging technique was applied to assess the evolution of the coherent waves. By Fourier decomposing the phase averaged data it was possible to obtain the magnitude as wel
33#
發(fā)表于 2025-3-27 05:37:31 | 只看該作者
34#
發(fā)表于 2025-3-27 12:30:18 | 只看該作者
Integrierte Entwicklung chemischer Produkted saddle points occur most frequently, but a significant number of nodes is also found. Flow topology and properties associated with these points are examined in some detail. While foci and saddle points are associated with maxima of local vorticity and strain rate respectively, nodes are associated
35#
發(fā)表于 2025-3-27 16:03:25 | 只看該作者
36#
發(fā)表于 2025-3-27 19:40:48 | 只看該作者
37#
發(fā)表于 2025-3-28 00:44:58 | 只看該作者
,Hinweise für analytische Arbeiten,A relation between power law spectrum of fluctuations of velocity derivatives and fractal dimensions of corresponding surfaces is obtained in the inertial range. It is shown that two values of surface fractal dimensions correspond to a single spectral power law. Good agree ment with experimental data is obtained for Kolmogorov turbulence.
38#
發(fā)表于 2025-3-28 02:11:05 | 只看該作者
39#
發(fā)表于 2025-3-28 09:19:48 | 只看該作者
40#
發(fā)表于 2025-3-28 13:47:19 | 只看該作者
Large Scale Structure Characterization in a 2D Mixing Layer by Pseudo-Flow-Visualization and DelocalThe main purpose of this paper is to illustrate two particular techniques for Structure Eduction that can be used when the information on flows (velocity, pressure, passive contaminants, etc...) are simultaneously available in several locations. This situation particularly occurs when rakes of sensors are used, or for DNS or LES simulations.
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