Vassili Kitsios
Laboratory for Turbulence Research in Aerospace and Combustion, Mechanical Engineering Department, Monash University, Clayton, Australia; CAWCR, CSIRO Marine and Atmospheric Research, Aspendale 3185, Victoria, Australia
Callum Atkinson
Laboratory for Turbulence Research in Aerospace and Combustion Department of Mechanical and Aerospace Engineering Monash University Clayton, Victoria, 3800, Australia
Juan A. Sillero
School of Aeronautics, Universidad Politecnica de Madrid, E-28040 Madrid, SPAIN
Guillem Borrell
School of Aeronautics, Universidad Politecnica de Madrid, E-28040 Madrid, SPAIN
Javier Jimenez
School of Aeronautics, Universidad Politecnica de Madrid 28040 Madrid, Spain; Centre for Turbulence Research, Stanford University Stanford CA 94305
Ayse Gul Gungor
Faculty of Aeronautics and Astronautics Istanbul Technical University 34469 Maslak, Istanbul, Turkey
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
SINOPSIS
The statistical scaling properties of a self-similar adverse
pressure gradient (APG) turbulent boundary layer (TBL) are presented. The intended flow is generated using the direct numerical simulation (DNS) TBL code of Simens et al. (2009) and Borrell et al. (2013), with a modified farfield boundary condition (BC). The conditions for self-similarity and appropriate scaling are derived, with mean and Reynolds stress profiles presented using this scaling. The APG and ZPG DNS are also compared under the classical viscous scaling.
Get access
