流体力学与飞行力学

适用于可压缩流动的γ-Reθt-fRe转捩模型

  • 刘清扬 ,
  • 雷娟棉 ,
  • 刘周 ,
  • 石磊 ,
  • 周伟江
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  • 1. 北京理工大学 宇航学院, 北京 100081;
    2. 中国航天空气动力技术研究院, 北京 100074

收稿日期: 2021-05-13

  修回日期: 2021-07-22

  网络出版日期: 2022-09-05

基金资助

国家数值风洞工程;国家自然科学基金(11772317)

γ-Reθt-fRe transition model for compressible flow

  • LIU Qingyang ,
  • LEI Juanmian ,
  • LIU Zhou ,
  • SHI Lei ,
  • ZHOU Weijiang
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  • 1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;
    2. China Academy of Aerospace Aerodynamics, Beijing 100074, China

Received date: 2021-05-13

  Revised date: 2021-07-22

  Online published: 2022-09-05

Supported by

National Numerical Windtunnel Project;National Natural Science Foundation of China (11772317)

摘要

基于γ-Reθt转捩模型的框架,发展了考虑流动可压缩性的γ-Reθt-fRe转捩模型。针对已有的转捩准则引入可压缩性修正,并利用基于参考温度法获得的雷诺数可压缩性比拟关系fRe修正现有基于不可压缩流动的转捩关联函数。为实现模型的局部性,构建了额外的雷诺数可压缩性比拟关系fRe输运方程。利用所发展的γ-Reθt-fRe转捩模型对不同流动条件的转捩算例进行考核并和基本γ-Reθt转捩模型进行对比,结果显示,γ-Reθt-fRe转捩模型实现了从低速至高速的无缝统一模拟能力。在低速流动条件下,γ-Reθt-fRe转捩模型自动恢复为基本γ-Reθt转捩模型;在超声速和高超声速流动条件下,γ-Reθt-fRe转捩模型显著改善了流动转捩的起始位置和转捩区发展的预测。

本文引用格式

刘清扬 , 雷娟棉 , 刘周 , 石磊 , 周伟江 . 适用于可压缩流动的γ-Reθt-fRe转捩模型[J]. 航空学报, 2022 , 43(8) : 125794 -125794 . DOI: 10.7527/S1000-6893.21.25794

Abstract

A transition model, γ-Reθ t-fRe, considering flow compressibility is developed from the original γ-Reθ ttransition model framework. The compressibility correction is introduced for the existing transition criteria, and the original transition correlation function based on incompressible flow is modified using the Reynolds number compressibility analogy relation obtained by the reference temperature method. To achieve model localization, an additional Reynolds number compressibility analogy relation fRe transport equation is constructed. The developed γ-Reθ t-fRe transition model is used to examine the transition cases under different flow conditions and compared with the basic γ-Reθ t transition model. The numerical simulation results show that the γ-Reθ t-fRe transition model achieves seamless unified simulation capability from low speed to high speed. It is automatically restored to the basic γ-Reθ t transition model under low speed flow conditions, while significantly improves the prediction of the flow transition trigger position and transition zone development under supersonic and hypersonic flow conditions.

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