Direct numerical simulation of a self-similar thermally coupled adverse pressure gradient turbulent boundary layer on the verge of separation

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Authors: Kevin Liu, Antonio Matas, Bihai Sun, Callum Atkinson, Julio Soria
Cited by: 1
References: 11

Abstract

Abstract We conduct direct numerical simulation (DNS) of a thermally coupled turbulent boundary layer (TTBL) subjected to a strong adverse pressure gradient (APG) and approaching incipient separation at a displacement-thickness Reynolds number Re δ 1 ≈ 2.9 × 10 4 . Heat transfer is modelled by a temperature scalar with an isothermal wall and Pr = 0.71 (air), where the fluid is subjected to buoyancy forces via the Boussinesq approximation. A dual-domain strategy is used in which the main TTBL receives time-dependent inflow from a purely hydrodynamic turbulent boundary layer (TBL) via recycling. These DNS represent, to our knowledge, the highest-resolution heated APG boundary-layer simulations with coupled thermal transport at this Reynolds number. Mean velocity and temperature profiles, Reynolds stresses, and velocity-temperature correlations exhibit near self-similarity under outer scaling with U e and δ 1 , extending hydrodynamic self-similarity arguments to buoyancy-affected TTBLs. The Reynolds stresses present a secondary inner peak in the spanwise intensity, indicating enhanced near-wall activity. The turbulent kinetic energy (TKE) budget shows that buoyancy suppresses the turbulent transport term, rendering it locally a sink of TKE, in contrast to the hydrodynamic APG case where it acts as a source.

Fields of Study & Subjects

Fluid Dynamics and Turbulent Flows Model Reduction and Neural Networks Plasma and Flow Control in Aerodynamics

Publication details

Journal / source
Journal of Physics Conference Series
Publisher
IOP Publishing
Volume
3230
Issue
1
Pages
012018–012018
Publication date
1 May 2026