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基于表面压力信息的空间流向涡识别方法研究

郭江龙,顾蕴松,罗帅   

  1. 南京航空航天大学
  • 收稿日期:2022-04-01 修回日期:2022-06-28 出版日期:2022-07-08 发布日期:2022-07-08
  • 通讯作者: 顾蕴松
  • 基金资助:
    国家自然科学基金

Research on spatial streamwise vortex signature identification based on surface pressure information

  • Received:2022-04-01 Revised:2022-06-28 Online:2022-07-08 Published:2022-07-08
  • Supported by:
    the National Natural Science Foundation of China

摘要: 旋涡与物面的相互作用广泛存在于各类飞行器的绕流中,旋涡影响飞行器表面的压力分布,引起其气动特性的改变。而表面压力分布同样反映飞行器绕流中复杂涡系的空间流动特征,结合迎角、侧滑角等来流参数,可以判断飞行器受力状态和运动趋势。本文以平面点涡和“镜像涡”理论为基础,通过风洞实验研究基于物面压力信息的空间涡识别方法。研究结果表明:通过物面压力分布曲线可以辨识流向旋涡的空间位置和强度特征,空间流场测量与基于物面压力信息的旋涡识别结果的关联性分析验证了该方法的有效性。

关键词: 旋涡识别, 涡面干扰, 旋涡强度, 旋涡中心位置, 关联性分析

Abstract: The interaction between vortices and the object surface exists in various situations. The vortex affect the pressure distribution of the surface and aerodynamic performances of aircraft. The pressure distribution of the aircraft can reflect the spatial flow characteristics of the vortices around the aircraft. Combined with the angle of attack, side slip angle and other flow parameters, the force state and motion trend of the aircraft can be judged. This paper, Vortex signature identification methods in surface pressure distributions is established according to the theory of point vortex and “mirror vortex”. The results show that the surface pressure distribution curve can characterize the spatial position (projection position and height of the vortex core distance surface) and intensity of the vortex. The correlation analysis between the spatial flow field measurement and the vortex identification result in surface pressure distributions verifies the effectiveness of the proposed method.

Key words: vortex signature identification, vortex interaction, vortex intensity, vortex center position, correlation analysis

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