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Identification of coherent structures in the flow past a NACA0012 airfoil via proper orthogonal decomposition

机译:通过适当的正交分解通过NACA0012翼型的流动相干结构的识别

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Proper orthogonal decomposition, POD, is employed to identify coherent structures in the turbulent flow past a NACA0012 airfoil. An analysis of different POD techniques is presented including the standard snapshot method, the spectral POD (SPOD) method, and a Fourier-POD implementation combined with the SPOD. The latter technique is viable once the present turbulent flow has a homogeneous direction along the airfoil span. An assessment of different vector norms and filter functions employed in the POD reconstruction is presented. The evaluation of the several POD techniques allows the investigation of the physics of the current turbulent flow including the observation of coherent structures and their relation to the airfoil noise generation mechanisms. The SPOD technique is applied assuming periodic and non-periodic temporal signals in the construction of the covariance matrix. Although it slightly alters the spectrum of the POD singular values, the periodic SPOD considerably reduces the noise observed in the singular vectors. The application of the Gaussian filtering allows an enhanced control in the response of the SPOD when compared with a square-box filter. The present POD reconstructions employ norms based on kinetic energy and pressure. For both norms, two-dimensional coherent structures are observed along the turbulent boundary layer and wake regions for the first pair of modes. These structures have a spectral content at the same frequency of the tonal noise radiation by the airfoil. The POD analysis also allows the identification of further coherent structures in the present flow. The kinetic energy norm is able to reconstruct low-frequency structures in the flow field for higher POD modes, while the pressure norm reconstructs high-frequency structures. This behavior is related to the physics captured by each POD norm in the present turbulent flow. Published by AIP Publishing.
机译:适当的正交分解,豆荚用于识别通过NACA0012翼型的湍流中的相干结构。提出了一种分析不同POD技术,包括标准快照方法,光谱吊舱(Spod)方法和与所述嵌入组合的傅立叶POD实现。一旦目前湍流沿着翼型跨度具有均匀的方向,后一种技术是可行的。提出了对POD重建中使用的不同载体规范和过滤功能的评估。几种POD技术的评估允许研究当前湍流的物理学,包括观察相干结构及其与翼型噪声产生机制的关系。假设在协方差矩阵的构建中的周期性和非周期性时间信号来应用SPOD技术。虽然它稍微改变了豆荚奇异值的光谱,但是周期性划缝显着降低了奇异载体中观察到的噪声。高斯滤波的应用允许与平方盒滤波器相比,在Spod的响应中进行增强控制。本发明的POD重建采用基于动能和压力的规范。对于两个规范,沿着湍流边界层和第一对模式的唤醒区域观察二维相干结构。这些结构具有以翼型的相同频率的光谱含量,通过翼型通过翼型的色调噪声辐射。 POD分析还允许识别在本流程中的进一步相干结构。动能规范能够重建流场中的低频结构,用于更高的豆荚模式,而压力范围重建高频结构。这种行为与当前湍流中的每个POD标准捕获的物理学相关。通过AIP发布发布。

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