An 18% scale semispan model is used as a platform for examining the efficacy of microphone array processing using synthetic data from numerical simulations. Two hybrid Reynolds-Averaged-Navier-Stokes/Large-Eddy-Simulation (RANS/LES) codes coupled with Ffowcs Williams–Hawkings solvers are used to calculate 97 microphone signals at the locations of an array employed in the NASA Langley Research Center 14 × 22 tunnel. Conventional, DAMAS, and CLEAN-SC array processing is applied in an identical fashion to the experimental and computational results for three different configurations involving deploying and retracting the main landing gear and a part-span flap. Despite the short time records of the numerical signals, the beamform maps are able to isolate the noise sources, and the appearance of the DAMAS synthetic array maps is generally better than those from the experimental data. The experimental CLEAN-SC maps are similar in quality to those from the simulations indicating that CLEAN-SC may have less sensitivity to background noise. The spectrum obtained from DAMAS processing of synthetic array data is nearly identical to the spectrum of the center microphone of the array, indicating that for this problem array processing of synthetic data does not improve spectral comparisons with experiment. However, the beamform maps do provide an additional means of comparison that can reveal differences that cannot be ascertained from spectra alone.

中文翻译：

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18% 比例飞机模型的计算和实验麦克风阵列结果的比较

一个 18% 比例的半跨模型被用作一个平台，用于使用来自数值模拟的合成数据检查麦克风阵列处理的功效。两个混合 Reynolds-Averaged-Navier-Stokes/Large-Eddy-Simulation (RANS/LES) 代码与 Ffowcs Williams-Hawkings 求解器相结合，用于计算 NASA 兰利研究中心采用的阵列位置处的 97 个麦克风信号 14 × 22 隧道。传统、DAMAS 和 CLEAN-SC 阵列处理以相同的方式应用于三种不同配置的实验和计算结果，包括展开和收回主起落架和部分跨度襟翼。尽管数值信号的时间记录很短，但波束形成图能够隔离噪声源，并且DAMAS合成阵列图的外观普遍优于实验数据。实验性 CLEAN-SC 地图的质量与模拟结果相似，表明 CLEAN-SC 可能对背景噪声的敏感性较低。从合成阵列数据的 DAMAS 处理获得的频谱与阵列中心麦克风的频谱几乎相同，表明对于这个问题，合成数据的阵列处理并没有改善与实验的频谱比较。然而，波束形成图确实提供了一种额外的比较方法，可以揭示仅从光谱中无法确定的差异。实验性 CLEAN-SC 地图的质量与模拟结果相似，表明 CLEAN-SC 可能对背景噪声的敏感性较低。从合成阵列数据的 DAMAS 处理获得的频谱与阵列中心麦克风的频谱几乎相同，表明对于这个问题，合成数据的阵列处理并没有改善与实验的频谱比较。然而，波束形成图确实提供了一种额外的比较方法，可以揭示仅从光谱中无法确定的差异。实验性 CLEAN-SC 地图的质量与模拟结果相似，表明 CLEAN-SC 可能对背景噪声的敏感性较低。从合成阵列数据的 DAMAS 处理获得的频谱与阵列中心麦克风的频谱几乎相同，表明对于这个问题，合成数据的阵列处理并没有改善与实验的频谱比较。然而，波束形成图确实提供了一种额外的比较方法，可以揭示仅从光谱中无法确定的差异。