Simulations of multiple shock wave boundary layer interactions with a non-linear turbulence model

Boychev, K., Barakos, G.N. and Steijl, R. (2022) Simulations of multiple shock wave boundary layer interactions with a non-linear turbulence model. In: Knoerzer, D., Periaux, J. and Tuovinen, T. (eds.) Advances in Computational Methods and Technologies in Aeronautics and Industry. Series: Computational methods in applied sciences, 57 (57). Springer: Cham, pp. 65-75. ISBN 9783031120183 (doi: 10.1007/978-3-031-12019-0_5)

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Abstract

A parametric study of multiple shock wave boundary layer interactions is presented in this paper. All results were obtained using the computational fluid dynamics solver of Glasgow University. Such interactions often occur in high-speed intakes, depending on the state of the upstream boundary layer, and can adversely affect the performance of the intake. First, RANS simulations with a Reynolds-stress based turbulence model of multiple shock wave boundary layer interaction in a rectangular duct were performed and compared to the experiments followed by simulations at different Mach and Reynolds numbers and flow confinement levels. The results showed that Reynolds-stress based turbulence models can predict the interaction well. The employed explicit algebraic Reynolds stress model showed good agreement for the corner and centreline separations and resulted only in a small underprediction of the wall pressure. Flow distortion and total pressure recovery efficiency metrics were defined and evaluated for each interaction. Lower upstream Mach number and/or lower levels of flow confinement were required to achieve higher total pressure recoveries and lower flow distortion levels.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Barakos, Professor George and Steijl, Dr Rene and Boychev, Kiril
Authors: Boychev, K., Barakos, G.N., and Steijl, R.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Publisher:Springer
ISSN:1871-3033
ISBN:9783031120183
Published Online:13 December 2022

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