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Wavepacket eduction in turbulent jets based on eigenmode decomposition of PIV data

机译:基于PIV数据本征模分解的湍流射流波包提取

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The dynamics of large scale structures in unforced turbulent jets at subsonic speeds have been related to the generation of the peak noise radiated the aft direction. The utility of instability wavepackets computed by linear stability theory or parabolised stability equations (PSE) have been demonstrated for the modeling of the near-field pressure fluctuations associated with the coherent structures. In this paper, we investigate whether the velocity field corresponding to the wavepackets also represents adequately that of the coherent structures. Previous research showed remarkable agreement in the velocity field up to the end of the potential core, but the agreement is lost gradually downstream. Locally-parallel linear stability theory (LST) of jet velocity profiles is revisited to further study the evolution of the wavepackets and the manner in which PSE models them. An adjoint-based eigenmode decomposition technique is used to project cross-sectional velocity profiles measured using time-resolved particle image velocimetry (PIV) on the Kelvin-Helmholtz eigenmode responsible for the wavepacket amplification. The instability wave thus extracted is then compared, both in amplification and shape, to the PSE wavepacket and to the dominant coherent structures obtained from the proper orthogonal decomposition of the PIV measurements. The comparisons between PSE models and POD-filtered fluctuations define three spatial regions along the streamwise direction that are explained in terms of changes in the LST eigenspectrum.
机译:在无声湍流中,亚声速下大型结构的动力学与向后方辐射的峰值噪声的产生有关。已经证明了通过线性稳定性理论或抛物线稳定性方程(PSE)计算出的不稳定性波包对与相干结构相关的近场压力波动的建模的实用性。在本文中,我们研究了与波包相对应的速度场是否也足够代表相干结构的速度场。先前的研究表明,在速度场中直至潜在核心的末尾都出现了惊人的一致性,但是这种一致性在下游逐渐消失。重新研究了射流速度剖面的局部平行线性稳定性理论(LST),以进一步研究波包的演变以及PSE对其建模的方式。基于伴随的本征模式分解技术用于投影在负责小波包放大的Kelvin-Helmholtz本征模式上使用时间分辨粒子图像测速(PIV)测量的截面速度分布。然后将如此提取的不稳定波在放大和形状上与PSE波形包以及从PIV测量的正确正交分解获得的主要相干结构进行比较。 PSE模型和经过POD滤波的涨落之间的比较定义了沿流向的三个空间区域,这些空间区域根据LST本征频谱的变化进行了解释。

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