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Azimuthal Source Noncompactness and Mode Coupling in Sound Radiation from High-Speed Axisymmetric Jets

机译:高速轴对称射流在声辐射中的方位角源不紧凑性和模式耦合

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摘要

Acoustic analogy approaches can be used to express the sound radiation from a turbulent flow as the convolution product of a propagator and a source term. This paper presents an acoustic analogy-based analysis that properly accounts for circumferential variations of the propagator across the source correlation region in an axisymmetric jet. The analysis shows that including azimuthal source noncompactness effects leads to a formula for the acoustic spectrum in which each circumferential propagator mode couples only to its corresponding Fourier mode of the source term. This significantly affects the radiated sound field, because the lower-order propagator modes radiate much more efficiently than the higher-order modes, while the lower-order source modes usually contain significantly less energy than the higher-order modes. The resulting formula depends on the Reynolds stress autocovariance tensor, which must be accurately modeled in order to obtain realistic predictions of the sound field. A relatively simple, experimentally based model of this tensor is proposed and combined with Reynolds-averaged Navier-Stokes solutions to obtain predictions of the noise from a moderately supersonic cold round jet. The predictions are shown to be in good agreement with experimental data and the analysis is used to provide insights into the modal structures of the source and sound fields.
机译:声学类比方法可用于表达湍流的声辐射,作为传播器和源项的卷积。本文提出了一种基于声学类比的分析方法,该方法可以适当地解释传播器在轴对称射流中跨源相关区域的周向变化。分析表明,包括方位角源的非紧缩效应会产生一个声谱公式,其中每个圆周传播器模式仅耦合到源项的相应傅里叶模式。这会极大地影响辐射声场,因为低阶传播器模式的辐射效率远高于高阶模式,而低阶声源模式通常比高阶模式包含的能量要少得多。所得公式取决于雷诺应力自协方差张量,必须对其进行精确建模才能获得声场的真实预测。提出了一个相对简单的基于实验的张量模型,并将其与雷诺平均的Navier-Stokes解组合,以获取来自中速超音速冷圆射流的噪声预测。结果表明,预测结果与实验数据非常吻合,分析结果可用于深入了解声源和声场的模态结构。

著录项

  • 来源
    《AIAA Journal》 |2018年第10期|3915-3925|共11页
  • 作者

    Goldstein M. E.; Leib S. J.;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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