Fine-scale mixing noise (FSMN) and broadband shock-associated noise (BBSAN) are the dominant components of supersonic jet noise in the sideline and upstream directions. We use the previously developed statistical FSMN and BBSAN models to compare the noise radiated from three different nozzles, i.e., a method of characteristics nozzle, a bi-conic nozzle, and a faceted nozzle at different operating conditions. A numerical sensitivity analysis is performed using the models by perturbing various model parameters and conditions such as nozzle pressure ratio (NPR), total temperature ratio, area ratio, and boundary layer thickness. We observed that FSMN is most sensitive to NPR and BBSAN is most sensitive to area ratio. We also examine the changes in source statistics and corresponding correlations of the radiated noise using the fluidic injection noise reduction technique. Noise reduction predictions relative to the baseline cases are compared at different operating conditions and similar reduction as the experimental measurements were obtained at over-expanded conditions. Finally, we analyze the noise source locations for both components of jet noise in the sideline direction. The trends predicted in this study increase understanding of the changes in source statistics and radiated noise for different nozzles over a range of operating conditions.

中文翻译：

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分析来自特征、双圆锥、多面和流体喷嘴的超音速喷射湍流、精细噪声和与冲击相关的噪声

细尺度混合噪声 (FSMN) 和宽带冲击相关噪声 (BBSAN) 是边线和上游方向超音速喷射噪声的主要成分。我们使用先前开发的统计 FSMN 和 BBSAN 模型来比较三种不同喷嘴的辐射噪声，即在不同操作条件下的特征喷嘴、双锥喷嘴和多面喷嘴。通过扰动各种模型参数和条件，例如喷嘴压力比 (NPR)、总温度比、面积比和边界层厚度，使用这些模型进行数值敏感性分析。我们观察到 FSMN 对 NPR 最敏感，BBSAN 对面积比最敏感。我们还使用流体注入降噪技术检查源统计数据的变化和辐射噪声的相应相关性。在不同的操作条件下比较了相对于基线情况的降噪预测，并且在过度扩展的条件下获得了与实验测量结果相似的降噪效果。最后，我们分析了边线方向喷射噪声的两个分量的噪声源位置。本研究中预测的趋势增加了对不同喷嘴在一系列操作条件下的源统计数据和辐射噪声变化的理解。在不同的操作条件下比较了相对于基线情况的降噪预测，并且在过度扩展的条件下获得了与实验测量结果相似的降噪效果。最后，我们分析了边线方向喷射噪声的两个分量的噪声源位置。本研究中预测的趋势增加了对不同喷嘴在一系列操作条件下的源统计数据和辐射噪声变化的理解。在不同的操作条件下比较了相对于基线情况的降噪预测，并且在过度扩展的条件下获得了与实验测量结果相似的降噪效果。最后，我们分析了边线方向喷射噪声的两个分量的噪声源位置。本研究中预测的趋势增加了对不同喷嘴在一系列操作条件下的源统计数据和辐射噪声变化的理解。