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基于气动光学连接方程的超声速湍流边界层气动光学预测研究

Research on aero-optical prediction of supersonic turbulent boundary layer based on aero-optical linking equation.

作者信息

Ding Haolin, Yi Shihe, Zhao Xinhai, Yi Junru, He Lin

出版信息

Opt Express. 2018 Nov 26;26(24):31317-31332. doi: 10.1364/OE.26.031317.

DOI:10.1364/OE.26.031317
PMID:30650720
Abstract

With the development of airborne imaging devices on the high-speed vehicle, aero-optical prediction of the turbulent boundary layer has attracted wide publicity. Based on the density distribution of supersonic (Mach 3.0) turbulent boundary layer obtained by nano-tracer-based planar laser scattering (NPLS) technique, we find that the time distribution characteristics of density fluctuation deviate from the Gaussian distribution mainly induced by the intermittency of a turbulent boundary layer. It may cause the prediction error of Sutton's linking equation to increase. The deflection-angle amplitude spectrum has a peak value at Stδ ≈1. With the increase of Stδ, the deflection-angle amplitude spectrum is more attenuated, which means that small-scale vortices make a relatively weak contribution to aero-optics, and which is mainly induced by large-scale vortices. With the assumption of locally homogeneous turbulence, the integral scale Λ is basically around 0.1δ. Without the assumption of locally homogeneous turbulence, the integral scale Λ is basically around 0.05δ. For the supersonic turbulent boundary layer with obvious inhomogeneity, based on the turbulence integral scale defined without the assumption of locally homogeneous turbulence, a fine aero-optical prediction result could also be obtained via the Sutton's linking equation. From the covariance distribution of density fluctuation, the prediction result based on the exponential distribution approximation is worse than that based on the Gaussian distribution approximation. The prediction effect is also shown through the change in coefficient. The prediction deviation of OPD based on the exponential distribution approximation is larger than that based on the Gaussian distribution approximation.

摘要

随着高速飞行器上的机载成像设备的发展,湍流边界层的气动光学预测受到了广泛关注。基于采用基于纳米示踪粒子的平面激光散射(NPLS)技术获得的马赫数为3.0的超声速湍流边界层的密度分布,我们发现密度涨落的时间分布特性偏离高斯分布,这主要是由湍流边界层的间歇性引起的。这可能会导致萨顿关联方程的预测误差增大。偏转角幅度谱在斯特劳哈尔数Stδ≈1处有一个峰值。随着Stδ的增大,偏转角幅度谱衰减得更厉害,这意味着小尺度涡对气动光学的贡献相对较弱,主要是由大尺度涡引起的。在局部均匀湍流的假设下,积分尺度Λ基本在0.1δ左右。在不做局部均匀湍流假设的情况下,积分尺度Λ基本在0.05δ左右。对于具有明显非均匀性的超声速湍流边界层,基于不做局部均匀湍流假设定义的湍流积分尺度,通过萨顿关联方程也能得到较好的气动光学预测结果。从密度涨落的协方差分布来看,基于指数分布近似的预测结果比基于高斯分布近似的预测结果差。预测效果也通过系数的变化体现出来。基于指数分布近似的光程差(OPD)预测偏差比基于高斯分布近似的预测偏差大。

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