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Statistical Energy Analysis of Interior Noise in a High-speed Train

机译:高速列车内噪声的统计能量分析

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A hybrid SEA model for predicting the interior noise in a high-speed train was constructed. The SEA parameters for the dominant transmission paths of the noise were estimated experimentally using the approximated power-injection method (APIM). These calculation results on the passenger cabin noise from this model were compared with experimentally measured interior noise in an actual moving train. The comparison showed that the accuracy of the calculation was ±1 dB. In addition, to estimate the change in SEA parameters caused by structural deformation of subsystems, two-dimensional coupled analysis composed of structural finite element analysis (FEA) and acoustical boundary element analysis (BEA) was used. It was consequently found that (i) the developed SEA model can find the dominant paths of propagated sound and vibration in high-speed train cars, and (ii) the change in noise level caused by structural deformation of a subsystem can be estimated.
机译:构建了一种用于预测高速列车中内部噪音的混合海模型。使用近似的功率注入方法(APIM)实验估计噪声的主导传输路径的海洋参数。这些计算结果对来自该模型的客舱噪声与实际移动的火车中的实验测量内部噪声进行了比较。比较表明,计算的准确性为±1 dB。此外,为了估计由子系统的结构变形引起的海洋参数的变化,使用由结构有限元分析(FEA)和声学边界元分析(BEA)组成的二维耦合分析。因此,(i)发达的海模型可以在高速列车汽车中找到传播声音和振动的主导路径,(ii)可以估计由子系统的结构变形引起的噪声水平的变化。

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