Three-dimensional large-scale and very-large-scale coherent structures in a turbulent axisymmetric jet.

Autor: Samie, Milad, Aparece-Scutariu, Vlad, Lavoie, Philippe, Dong-hyuk Shin, Pollard, Andrew
Předmět:
Zdroj: Journal of Fluid Mechanics; 10/10/2022, Vol. 948, p1-27, 27p
Abstrakt: The direct numerical simulation database from Shin et al. (J. Fluid Mech., vol. 823, 2017, pp. 1-25) is used to study three-dimensional vortical and very-large-scale coherent structures in a turbulent round jet at a Reynolds number of 7300. In particular, horseshoe vortices and their role in the formation of very-large-scale coherent structures in the jet near and intermediate fields are assessed. The swirling strength criterion together with conditional averaging are used to visualize volumetric vortical structures. It is shown that, similar to wall-bounded turbulent flows, the turbulent jet is populated with symmetric and asymmetric horseshoe-like vortices, which induce high-momentum and low-momentum regions in the flow. However, unlike what is found for wall-bounded flows, inverse horseshoe-like vortices are common in the turbulent jet. They prevail in the shear region around the potential core in the jet near field and contribute to the mixing of the potential core in the jet. In the jet near field, groups of axially aligned horseshoe structures induce long streaky structures, which are periodic in the azimuthal and streamwise directions. In the jet intermediate field, very-large-scale motions (VLSMs) consisting of high-momentum regions, flanked on either side by low-momentum regions, are found to be associated with groups of horseshoe vortices. Instantaneous three-dimensional flow fields suggest that horseshoe vortices tend to concatenate and form organized spiral as well as axially aligned coherent VLSMs. A detection scheme is introduced to identify and average over these VLSMs. This conditional averaging reveals that spiral VLSMs and axially aligned VLSMs constitute 72% and 28% of the total VLSMs, respectively. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index