【2h】

Two-point wavepacket modelling of jet noise

机译:射流噪声的两点波包建模

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摘要

This paper is focused on the study of a kinematic wavepacket model for jet noise based on two-point statistics. The model contains physical parameters that define its structure in terms of wavenumber, envelope shape and coherence decay. These parameters, which are necessary to estimate the sound pressure levels radiated by the source, were educed from a large-eddy simulation database of a Mach 0.4, fully turbulent jet. The sound pressure levels predicted by the model were compared with acoustic data and the results show that when the parameters are carefully educed from the data, the sound pressure levels generated are in good agreement with experimentally measured values for low Strouhal numbers and polar angles. Furthermore, here we show that a correct representation of both coherence decay and wavepacket envelope shape are key aspects to an accurate sound prediction. A Spectral Proper Orthogonal Decomposition (SPOD) of the model source was also performed motivated by the search for a low-rank model capable of capturing the acoustic efficiency of the full source. It is shown that only a few SPOD modes are necessary to recover acoustically important wavepacket traits.
机译:本文着重研究基于两点统计的运动波包模型的喷气噪声。该模型包含物理参数,这些物理参数根据波数,包络形状和相干衰减来定义其结构。这些参数是估算声源辐射声压级所必需的,这些参数是从马赫数为0.4的完全湍流射流的大涡模拟数据库中得出的。将模型预测的声压级与声学数据进行比较,结果表明,当从数据中仔细导出参数时,所生成的声压级与低Strouhal数和极角的实验测量值非常吻合。此外,这里我们显示相干衰减和波包包络形状的正确表示是准确声音预测的关键方面。还通过寻找能够捕获整个声源的声效率的低秩模型来激发模型声源的光谱正确正交分解(SPOD)。结果表明,只有少数几种SPOD模式才能恢复声学上重要的波包特征。

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