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A method to estimate turbulence intensity and transverse Taylor microscale in turbulent flows from spatially averaged hot-wire data

机译:一种根据空间平均热线数据估算湍流中湍流强度和横向泰勒微尺度的方法

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摘要

A new approach to evaluate turbulence intensity and transverse Taylor microscale in turbulent flows is presented. The method is based on a correction scheme that compensates for probe resolution effects and is applied by combining the response of two single hot-wire sensors with different wire lengths. Even though the technique, when compared to other correction schemes, requires two independent measurements, it provides, for the same data, an estimate of the spanwise Taylor microscale. The method is here applied to streamwise turbulence intensity distributions of turbulent boundary layer flows but it is applicable generally in any turbulent flow. The technique has been firstly validated against spatially averaged DNS data of a zero pressure-gradient turbulent boundary layer showing a good capacity to reconstruct the actual profiles and to predict a qualitatively correct and quantitatively agreeing transverse Taylor microscale over the entire height of the boundary layer. Finally, the proposed method has been applied to available higher Reynolds number data from recent boundary layer experiments where an estimation of the turbulence intensity and of the Taylor microscale has been performed.
机译:提出了一种新的方法来评估湍流中的湍流强度和横向泰勒尺度。该方法基于补偿探针分辨率影响的校正方案,并通过组合两个具有不同线长的单个热线传感器的响应来应用。即使与其他校正方案相比,该技术需要两次独立的测量,但对于相同的数据,它还是提供了跨度泰勒微尺度的估计。该方法在此被应用于湍流边界层流的沿流的湍流强度分布,但是它通常适用于任何湍流。该技术首先针对零压力梯度湍流边界层的空间平均DNS数据进行了验证,该数据显示了重建实际剖面以及预测边界层整个高度上的定性正确和定量一致的横向泰勒微尺度的良好能力。最后,所提出的方法已应用于来自最近边界层实验的可用更高雷诺数数据,其中已对湍流强度和泰勒微尺度进行了估算。

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