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Transition of shock reflection with downstream expansion fan interference

Published online by Cambridge University Press:  12 March 2025

Yiwen He
Affiliation:
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, PR China
Aiming Shi*
Affiliation:
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, PR China National Key Laboratory of Aircraft Configuration Design, Xi’an 710072, PR China
*
Corresponding author: Aiming Shi, sam@nwpu.edu.cn

Abstract

In this paper, the reflection of shock waves with downstream expansion fan interference in two-dimensional, inviscid flow is investigated, including steady Mach reflection (MR) and the unsteady transition process from regular reflection (RR) to MR. A threshold for the configuration based on non-dimensional wedge length is proposed. The analytical model for the steady MR and RR$\rightarrow$MR transition process is established based on the classical shock and expansion wave relations, whose prediction agrees well with results obtained through inviscid numerical simulation. It is found that the expansion fan interference significantly influences the steady flow patterns, especially the height of the Mach stem and the shape of the slip line. The interaction accelerates the formation of the sonic throat, stabilizing the flow structure rapidly, and results in generally small Mach stem heights. The exposure of the triple point to the expansion fan eliminates the inflection point on the slip line, whose slope increases smoothly. The interaction further affects the time evolution of the Mach stem during the multiple-interaction stage of the RR$\rightarrow$MR transition process. It appears that the modifications come from the curvature of the incident shock brought by the wave interference. During the multiple-interaction stage, the triple point moves upstream along the curved incident shock, where the incident shock angle changes according to the curvature, resulting in the variation of the evolution velocity.

Type
JFM Papers
Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Baby, V.Y., Paramanantham, V. & Rajesh, G. 2024 Regular reflection to Mach reflection (RR–MR) transition in short wedges. J. Fluid Mech. 998, A38.CrossRefGoogle Scholar
Bai, C.Y. 2023 Shock reflection with incident shock–wedge trailing-edge expansion fan interaction. J. Fluid Mech. 968, A21.CrossRefGoogle Scholar
Bai, C.Y. & Wu, Z.N. 2017 Size and shape of shock waves and slipline for Mach reflection in steady flow. J. Fluid Mech. 818, 116140.CrossRefGoogle Scholar
Ben-Dor, G. 2007 Shock Wave Reflection Phenomena. Springer.Google Scholar
Gao, B. & Wu, Z.N. 2010 A study of the flow structure for Mach reflection in steady supersonic flow. J. Fluid Mech. 656, 2950.CrossRefGoogle Scholar
Guan, X., Bai, C. & Wu, Z. 2018 Steady Mach reflection with two incident shock waves. J. Fluid Mech. 855, 882909.CrossRefGoogle Scholar
Hillier, R. 2007 Shock-wave/expansion-wave interactions and the transition between regular and Mach reflection. J. Fluid Mech. 575, 399424.CrossRefGoogle Scholar
Hornung, H.G., Oertel, H. & Sandeman, R.J. 1979 Transition to Mach reflexion of shock waves in steady and pseudosteady flow with and without relaxation. J. Fluid Mech. 90 (3), 541560.CrossRefGoogle Scholar
Kudryavtsev, A.N., Khotyanovsky, D.V., Ivanov, M.S., Hadjadj, A. & Vandromme, D. 2002 Numerical investigations of transition between regular and Mach reflections caused by free-stream disturbances. Shock Waves 12 (2), 157165.CrossRefGoogle Scholar
Li, H. & Ben-Dor, G. 1997 A parametric study of Mach reflection in steady flows. J. Fluid Mech. 341, 101125.CrossRefGoogle Scholar
Li, S.G., Gao, B. & Wu, Z.N. 2011 Time history of regular to Mach reflection transition in steady supersonic flow. J. Fluid Mech. 682, 160184.CrossRefGoogle Scholar
Mach, E. 1878 Über den Verlauf von Funkenwellen in der Ebene und im Raume. Sitzungsber. Akad. Wiss. Wien 78, 819838.Google Scholar
Mölder, S. 2016 Curved shock theory. Shock Waves 26 (4), 337353.CrossRefGoogle Scholar
Mouton, C.A. & Hornung, H.G. 2007 Mach stem height and growth rate predictions. AIAA J. 45 (8), 19771987.CrossRefGoogle Scholar
Qin, Z., Shi, A., Dowell, E.H., Pei, Y. & Huang, E. 2022 Analytical model of strong Mach reflection. AIAA J. 60 (9), 51875202.CrossRefGoogle Scholar
Shi, C., Han, W., Deiterding, R., Zhu, C. & You, Y. 2020 Second-order curved shock theory. J. Fluid Mech. 891, A21.CrossRefGoogle Scholar
Shi, C., You, Y., Zheng, X. & Zhu, C. 2023 Analytical model for curved-shock Mach reflection. Phys. Fluids 35 (3), 031702.CrossRefGoogle Scholar
von Neumann, J. 1943 Oblique reflection of shocks. Tech. Rep. Explosives Research Report 12. Navy Department, Bureau of Ordinance.Google Scholar
von Neumann, J. 1945 Refraction, intersection and reflection of shock wave. Tech. Rep. NAVORD Report 203-45. Navy Department, Bureau of Ordinance.Google Scholar
Vuillon, J., Zeitoun, D. & Ben-Dor, G. 1995 Reconsideration of oblique shock wave reflections in steady flows. Part 2. Numerical investigation. J. Fluid Mech. 301, 3750.CrossRefGoogle Scholar
Weng, Y., Li, Q., Tan, G., Su, W. & You, Y. 2024 Numerical investigations on interactions between 2D/3D conical shock wave and axisymmetric boundary layer at Ma=2.2. Aerosp. Sci. Technol. 144, 108769.CrossRefGoogle Scholar
Yao, Y., Li, S.G. & Wu, Z.N. 2013 Shock reflection in the presence of an upstream expansion wave and a downstream shock wave. J. Fluid Mech. 735, 6190.CrossRefGoogle Scholar
Zhang, T., Xu, K., Shi, C., Zhu, C. & You, Y. 2023 Reflection and transition of planar curved shock waves. J. Fluid Mech. 959, A11.CrossRefGoogle Scholar
Zuo, K., Ye, Z., Bu, S., Yuan, X. & Zhang, W. 2024 Fast simulation of airfoil flow field via deep neural network. Aerosp. Sci. Technol. 150, 109207.CrossRefGoogle Scholar