来流变化导致飞行器气动力/热不确定度量化分析

Uncertainty quantification analysis of aerodynamic force and heat for air vehicle due to freestream variation

  • 摘要: 为评估及量化来流条件变化导致高速飞行器气动力/热特性的不确定性程度,选择具有飞机前机身与座舱罩组合部件基本特征的双椭球模型为研究模型,采用数值模拟方法,获得了其流动结构和壁面热流、压力分布等特征,并通过与实验数据进行对比,验证了预测方法的可靠性。在此基础上,选取来流速度、来流温度、来流密度和壁面温度这4个来流参数作为不确定性变量,采用拉丁超立方试验设计与非嵌入式多项式混沌相结合的不确定度量化方法,开展了气动力/热不确定度量化分析和敏感性分析。结果表明,来流条件的不确定性对模型的升力、阻力及驻点热流的值均有较大影响,其中来流速度和来流温度的变化对壁面压强分布影响较大,来流速度、来流密度和壁面温度的变化对壁面热流的预测有着重要影响。

     

    Abstract: The flight environment of high-speed aircraft is relatively complex, and the reliability of numerical simulation results of this process can be affected by the freestream condition variation. In order to assess and quantify the aerodynamic and aerothermodynamics uncertainty of high-speed aircraft due to the freestream variation, a double ellipsoidal configuration featuring the combination of a front fuselage and a cockpit cover of the space shuttle was selected as the research model, and the numerical simulation approach was adopted to obtain the flow structures, wall heat flux, pressure distributions and other characteristics. The reliability of the prediction method was verified by comparing the simulation results with the experimental data, which demonstrated the reliability of the prediction method. Based on the Latin hypercube experimental design method and the non-intrusive polynomial chaos expansion method, the freestream density, freestream temperature, wall temperature, and freestream velocity were selected as the uncertainty input variables, and the uncertainty quantification and sensitivity analysis on the aerodynamics and aerothermodynamics of the double ellipsoid model were conducted. The research results indicate that, the uncertainty of freestream conditions has a significant impact on the lift, drag, and stagnation heat flux values of the double ellipsoid model. Variations in the freestream velocity and temperature significantly affects the wall pressure distribution, while variations in the freestream velocity, freestream density, and wall temperature strongly affect the wall heat-flux prediction.

     

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