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A Separated Flow Model for Semi-Empirical Prediction of Trailing Edge Noise

机译:后缘噪声半经验预测的分离流模型

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An accurate description of the mean flow, the rms values, and spectral distributions of the separated boundary layer fluctuating velocities plays an important role in predicting trailing edge far field noise. A possible method for describing the mean and rms quantities based on a modification of Coles' law of the wake and Prandtl's mixing length theory is presented. The model is validated against related experiments from literature and new measurements conducted at DLR Braun-schweig. Additionally, a comparison between the von Karman spectrum for isotropic turbulence and the measured spectra inside the separated boundary layer is given. The results strongly suggest that the spectra as well as the mean and rms values of the separated flow can be modeled with the proposed approaches.
机译:分离边界层波动速度的平均流量,平均值和光谱分布的准确描述在预测后缘远场噪声中起着重要作用。提出了一种可能的方法,用于描述基于唤醒和Prandtl混合长度理论的核心的修改的平均值和RMS量。该模型针对在DLR Braun-Schweig进行的文献和新测量的相关实验。另外,给出了对各向同性湍流的Von Karman光谱与分离边界层内部的测量光谱之间的比较。结果强烈建议,光谱以及分离流的平均值和均方根值可以用所提出的方法进行建模。

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