Sophie Herpin
Laboratoire de Mcanique de Lille (LML) Ecole Centrale de Lille Bd Paul Langevin, Cite Scientifique, 59655 Villeneuve d'Ascq cedex, France, Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) Monash University, VIC 3800 Australia
Jean-Marc Foucaut
Laboratoire de Mécanique de Lille, UMR CNRS 8107 Bv Paul Langevin, Cité Scientifique F-59655 Villeneuve d'Ascq, France; Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) Monash University, VIC 3800 Australia
Julio Soria
Laboratory for Turbulence Research in Aerospace and Combustion Department of Mechanical and Aerospace Engineering Monash University Clayton, Victoria, 3800, Australia; Department of Aeronautical Engineering King Abdulaziz University, Jeddah, Saudi Arabia
Michel Stanislas
Laboratoire de Mécanique de Lille, UMR CNRS 8107 Bv Paul Langevin, Cité Scientifique F-59655 Villeneuve d'Ascq, France; Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC) Monash University, VIC 3800 Australia
RÉSUMÉ
Streamwise and spanwise vortices are investigated in a
database of near-wall turbulence constituted of SPIV data of boundary layer covering a large range of Reynolds numbers (Reθ ∈
[1300; 18950]) and of a DNS dataset of channel flow at Reτ = 950.
The detection algorithm is based on a fit of the velocity field surrounding extrema of swirling strength to an Oseen vortex. Some statistical results on the characteristics of the vortices (radius, vorticity,
convection velocity, density) are investigated, giving some
new insight into the organization of near-wall turbulence.