Large-eddy simulation-based study of wall temperature effects on shock-wave turbulent boundary layer interactions

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Authors: Eli Durant, Reetesh Ranjan, Kidambi Sreenivas
Cited by: 1
References: 79

Abstract

In this study, we assess the capabilities of large-eddy simulation (LES) to predict the features of shock-wave turbulent boundary layer interaction (STBLI) and examine the effects of wall temperature on such features. We consider a 24∘ compression corner configuration at the free-stream Mach number of 2.9 and freestream unit Reynolds number of 5581.4 mm−1, respectively. First, we assess LES capabilities in terms of the role of various subgrid models in the prediction of statistics of STBLI. Specifically, we consider four models, namely, the no-model approach, the dynamic Lagrangian model for eddy viscosity, the wall-adapted local eddy-viscosity (WALE) model, and the locally dynamic kinetic energy model. Overall, the WALE model showed a better agreement with reference results compared to other models. Next, we examine the effects of wall temperature on the features of STBLI by considering three cases with increasing ratio of the bottom wall temperature to the recovery temperature with Tw/Tr=0.6, 1.14, and 1.4. With an increase in Tw, we observe that all features of STBLI get affected, such as a decrease in the coherence of the quasi-streamwise vortical structures, a decrease in the energy content of the small scales, an earlier separation, an increase in the characteristic frequency associated with the low-frequency unsteadiness, etc. Additionally, the streamwise variation of skin friction and heat transfer coefficients and the wall pressure and its fluctuation intensity show a strong dependence on the wall temperature.

Fields of Study & Subjects

Computational Fluid Dynamics and Aerodynamics Aerodynamics and Acoustics in Jet Flows Fluid Dynamics and Turbulent Flows

Publication details

Journal / source
Journal of Turbulence
Publisher
Informa UK Limited
Volume
27
Issue
1-3
Pages
29–59
Publication date
12 February 2026
Language
EN