Gas Kinetic Scheme Coupled with High-Speed Modifications for Hypersonic Transition Flow Simulations

Autor: Chengrui Li, Wenwen Zhao, Hualin Liu, Youtao Xue, Yuxin Yang, Weifang Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Entropy, Vol 26, Iss 2, p 173 (2024)
Druh dokumentu: article
ISSN: 26020173
1099-4300
DOI: 10.3390/e26020173
Popis: The issue of hypersonic boundary layer transition prediction is a critical aerodynamic concern that must be addressed during the aerodynamic design process of high-speed vehicles. In this context, we propose an advanced mesoscopic method that couples the gas kinetic scheme (GKS) with the Langtry–Menter transition model, including its three high-speed modification methods, tailored for accurate predictions of high-speed transition flows. The new method incorporates the turbulent kinetic energy term into the Maxwellian velocity distribution function, and it couples the effects of high-speed modifications on turbulent kinetic energy within the computational framework of the GKS solver. This integration elevates both the transition model and its high-speed enhancements to the mesoscopic level, enhancing the method’s predictive capability. The GKS-coupled mesoscopic method is validated through a series of test cases, including supersonic flat plate simulation, multiple hypersonic cone cases, the Hypersonic International Flight Research Experimentation (HIFiRE)-1 flight test, and the HIFiRE-5 case. The computational results obtained from these cases exhibit favorable agreement with experimental data. In comparison with the conventional Godunov method, the new approach encompasses a broader range of physical mechanisms, yielding computational results that closely align with the true physical phenomena and marking a notable elevation in computational fidelity and accuracy. This innovative method potentially satisfies the compelling demand for developing a precise and rapid method for predicting hypersonic boundary layer transition, which can be readily used in engineering applications.
Databáze: Directory of Open Access Journals
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