Direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer at the verge of separation
Vassili Kitsios, Atsushi Sekimoto, Callum Atkinson, Juan A. Sillero,, Guillem Borrell, Ayse G. Gungor, Javier Jim\'enez, Julio Soria

TL;DR
This paper presents DNS results of a self-similar adverse pressure gradient turbulent boundary layer at the verge of separation, analyzing its properties and comparing with zero and mild pressure gradient flows.
Contribution
It provides detailed DNS data and analysis of a high adverse pressure gradient TBL near separation, including self-similarity conditions and flow property comparisons.
Findings
Flow becomes more like a free shear layer with increasing pressure gradient.
Self-similarity conditions for APG TBL are derived and validated.
Mean and Reynolds stress profiles collapse under appropriate scaling.
Abstract
The statistical properties are presented for the direct numerical simulation (DNS) of a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) at the verge of separation. The APG TBL has a momentum thickness based Reynolds number range from to , with a self-similar region from to . Within this domain the average non-dimensional pressure gradient parameter , where for a unit density , with the displacement thickness, the mean shear stress at the wall, and the farfield pressure gradient. This flow is compared to previous zero pressure gradient (ZPG) and mild APG TBL () results of similar Reynolds number. All flows are generated via the DNS of a TBL on a flat surface with farfield boundary conditions tailored to apply the…
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