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Localisation and characterisation of TGV trains noise sources with acoustical array measurements

机译:TGV列车用声学阵列测量的TGV列车噪声源的定位和表征

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In the railway domain, the increase of commercial train speed leads to an amplification of the pass-by noise. Around 320 km/h, the contributions of the aerodynamic noise and the rolling noise are in the same order of importance. Parametric studies with pass-by noise prediction softwares like VAMPPASS (developed in SILENCE IP project) provide the best combination of solutions to reduce the pass-by noise. In this software, the definition of the sources is the main difficulty. Measurement using array processing is the only way to characterize the sources during pass-by even though the extraction of the sources characteristics remains difficult. Therefore, SNCF has carried out a measurement campaign on TGV trains to identify and characterize their acoustic sources. The measurement campaign, the acoustic array and the corresponding processing are presented. Characterization of several sources is discussed. Since the rolling noise remains a major source at speeds higher than 300kph, it has to be properly modeled in simulations softwares. Therefore, in addition to the test train, a large amount of commercial trains were measured and each of their axles was characterized in terms of sound pressure level magnitudes and spectra. A statistical study of those results enables us to come up with a convenient noise model for power and carrier axles.
机译:在铁路领域,商业列车速度的增加导致通过噪声的放大。大约320 km / h,空气动力学噪音的贡献和滚动噪音的重要性顺序相同。使用Vamppass(在沉默IP项目中开发)等Pass-by噪声预测软件的参数研究提供了解决方案的最佳组合,以降低通过噪声。在这个软件中,来源的定义是主要难度。使用阵列处理的测量是即使源特性的提取仍然困难,也是在通过期间表征传递源的唯一方法。因此,SNCF在TGV列车上进行了测量运动,以识别和表征其声源。提出了测量运动,声学阵列和相应的处理。讨论了若干来源的表征。由于滚动噪声保持高于300kph的速度的主要源,因此它必须在模拟软件中进行适当建模。因此,除了测试列车之外,测量大量的商业列车,并且它们中的每一个在声压水平幅度和光谱方面表征。对这些结果的统计研究使我们能够提出一种方便的电源和承载轴的噪声模型。

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