Numerical Simulations of Multiple Shock Wave Boundary Layer Interactions

Boychev, K., Barakos, G.N. and Steijl, R. (2021) Numerical Simulations of Multiple Shock Wave Boundary Layer Interactions. In: 2021 AIAA SciTech Forum, 11-15 & 19-21 Jan 2021, (doi: 10.2514/6.2021-1762)

Abstract

Shock wave boundary layer interactions occur in many aerospace applications, and of particular interest are the interactions occurring in high-speed intakes. The high-speed intakes aim to decelerate the flow with minimum losses using a series of oblique shocks followed by a weak normal shock. Depending on the state of the boundary layer and on the upstream Mach number, multiple shocks can form in the throat of the intake. Often, they are referred to as shock trains, or pseudo-shocks and can have a significant impact on the intake performance. The in-house CFD solver of the University of Glasgow is used here, to investigate an isolated multiple shock interaction and quantify the effect of different non-linear turbulence models. The non-linear models, and their ability to account for the Reynolds stress anisotropy, resolve the corner flows and give favourable agreement with experiments. As a second step, shock train simulations in a geometry more representative of a high-speed intake are performed. Three different pitot intakes are considered and performance metrics based on the total pressure recovery and flow distortion are evaluated at different free-stream conditions. The predicted shock trains are highly asymmetric and the strong sensitivity of the total pressure recovery and flow distortion to the intake geometry is observed to reduce at higher incidence angles.

• Item Type: Conference Proceedings
• Additional Information: The authors would like to acknowledge J. Dutton for providing the experimental data. The computational resources provided by ARCHIE-WeSt and the financial support from MBDA UK are also gratefully acknowledged.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Barakos, Professor George and Boychev, Kiril and Steijl, Dr Rene
• Authors: Boychev, K., Barakos, G.N., and Steijl, R.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Published Online: 04 January 2021
• Copyright Holders: Copyright © 2021 The Authors
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher