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A time domain approach for shock noise prediction with decomposition analyses of large-scale coherent turbulent structures in jets

机译:射流中大规模连贯湍流结构分解分析冲击噪声预测的时域方法

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摘要

Broadband shock-associated noise (BBSAN) is one dominant component from off-design supersonic jets. A time-domain BBSAN model is proposed and evaluated, which is based on the vector Green & rsquo;s function solution of the decomposed Navier & ndash;Stokes equations. The source term is the scalar product of the anisotropic velocities with the mean pressure gradient. The approach uses large-eddy simulation (LES) databases. Proper orthogonal decomposition (POD) is applied to the scalar source field to extract the large-scale coherent structures associated with BBSAN. The key features of the BBSAN spectra are preserved when only a small fraction of POD modes are used to reconstruct the source field. The leading POD modes of the source term show strong amplification in the observer direction. Noise source contour plots calculated with these POD modes reveal that most noise sources are distributed at the shock-turbulence interactions. Predictions are validated with the Ffowcs Williams and Hawkings method and experimental data.
机译:宽带激波相关噪声(BBSAN)是非设计超音速射流的主要成分之一。提出并评估了一种基于矢量格林函数的时域BBSAN模型;分解Navier的s函数解–斯托克斯方程。源项是各向异性速度与平均压力梯度的标量积。该方法使用大型涡流模拟(LES)数据库。将本征正交分解(POD)应用于标量源场,以提取与BBSAN相关的大规模相干结构。当只有一小部分POD模式用于重建源场时,BBSAN光谱的关键特征得以保留。源项的前导吊舱模式在观察者方向上表现出强烈的放大。用这些POD模式计算的噪声源等值线图显示,大多数噪声源分布在激波-湍流相互作用处。利用Ffowcs-Williams和Hawkings方法以及实验数据对预测进行了验证。

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