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CN  62-1224/O4

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王世浚, 朱雷威, 孙玉玺, 付善强, 张保成, 赵波. 高速磁浮列车近场气动特性及其诱导噪声的数值仿真研究[J]. 摩擦学学报, 2023, 43(1): 83-91. DOI: 10.16078/j.tribology.2022144
引用本文: 王世浚, 朱雷威, 孙玉玺, 付善强, 张保成, 赵波. 高速磁浮列车近场气动特性及其诱导噪声的数值仿真研究[J]. 摩擦学学报, 2023, 43(1): 83-91. DOI: 10.16078/j.tribology.2022144
WANG Shijun, ZHU Leiwei, SUN Yuxi, FU Shanqiang, ZHANG Baocheng, ZHAO Bo. Numerical Simulation on Near-Field Aerodynamic Characteristics and Its Induced Noise for High-Speed Maglev Trains[J]. TRIBOLOGY, 2023, 43(1): 83-91. DOI: 10.16078/j.tribology.2022144
Citation: WANG Shijun, ZHU Leiwei, SUN Yuxi, FU Shanqiang, ZHANG Baocheng, ZHAO Bo. Numerical Simulation on Near-Field Aerodynamic Characteristics and Its Induced Noise for High-Speed Maglev Trains[J]. TRIBOLOGY, 2023, 43(1): 83-91. DOI: 10.16078/j.tribology.2022144

高速磁浮列车近场气动特性及其诱导噪声的数值仿真研究

Numerical Simulation on Near-Field Aerodynamic Characteristics and Its Induced Noise for High-Speed Maglev Trains

  • 摘要: 磁浮列车具有高速性和非接触性,其噪声水平主要依赖于近场气动特性. 本文中针对某型号三编组高速磁浮列车,基于Lighthill声学理论,应用大涡模拟法(LES)和FW-H声学模型,仿真分析了1:10列车缩比模型在600 km/h明线工况下的稳态气动特性及瞬态气动噪声激励源特性. 结果表明:高速磁浮列车车头与车尾鼻尖位置呈现等压线密集、压力梯度大现象,且车头鼻尖处压力值明显高于车尾鼻尖;列车表面声功率级最高可达155 dB,主要噪声源产生在车头鼻尖区域、表面曲率发生较大变化位置;低频段下列车车头与车尾表面对应位置监测点的声压级分布规律相同,且车头鼻尖位置监测点声压级高于车尾鼻尖,车头与车尾向车身过渡位置两监测点声压级在低频段有明显波动. 文中所得研究成果,可为高速磁浮列车车内噪声计算以及为后续低频噪声优化提供一定的科学依据和指导,实现乘客对乘坐舒适性要求.

     

    Abstract: The noise induced by the high-speed trains has always been one of the main problems restricting the development of new-type trains. In particular, low frequency noise has been the focus of researchers due to its characteristics such as low attenuation, long propagation distance and strong permeability. Due to its non-contact and high-speed characteristics, the main noise source of maglev train is changed from the mechanical noise between wheels and track to the aerodynamic noise caused by pulsating air pressure. The noise level mainly depends on the near-field aerodynamic characteristics. When the speed increases, the influence of the near-field aerodynamic characteristics on the interior noise is particularly severe. In order to solve the noise problem, the study of the near-field aerodynamic characteristics of high-speed maglev trains had became a key step in the research. When the speed increased, the influence of the near-field aerodynamic characteristics on the interior noise was particularly severe. In order to solve the noise problem, the study of the near-field aerodynamic characteristics of high-speed maglev trains had became a key step in the research. Therefore, based on the Lighthill acoustic theory, this study adopted the FW-H acoustic model for a certain type of three-group high-speed maglev train, and used the large eddy simulation method to solve the surface turbulence of the high-speed train. The simulation analyzed the steady-state aerodynamic characteristics and transient aerodynamic noise excitation source characteristics of the 1:10 scale model of the train with a speed of 600 km/h under the open-wire condition without considering the track factor. The results showed that the pressure changes were correspondingly obvious at the positions with large curvature changes on the surface of the high-speed maglev train. At the same time, the positions with large curvature changes also made the motion of the flow field eddy current in the near-wall region more intense. The pressure gradient was large and the pressure value at the nose tip of the car was significantly higher than that of the nose tip of the car rear. The sound power level of the train surface can reach up to 155 dB, and the main noise sources were generated in the nose tip area of the car, where the surface curvature changed greatly, and the connection between the carriages. In the low frequency band, the distribution law of the sound pressure level at the monitoring points on the front and rear surfaces of the vehicle was the same, showing the phenomenon that the sound pressure level decreased with the increase of the frequency, and the overall sound pressure level of the monitoring point at the nose tip of the vehicle was the same higher than the nose of the car. The sound pressure level distribution law of the two monitoring points at the transition position of the front and rear of the vehicle to the body was similar, with obvious fluctuations in the low frequency band around 500 Hz, and then the sound pressure level gradually decreased with the increase of the frequency. The change rule of the sound pressure level at a speed of 500 kilometers per hour was the same as that at 600 kilometers per hour. The overall sound pressure level of the monitoring point was lower than 600 kilometers per hour, and the change of the monitoring point at the rear of the vehicle was the most obvious. The research results obtained in this paper can provide a certain scientific basis and guidance for the calculation of in-vehicle noise of high-speed maglev trains and the subsequent optimization of low-frequency noise, so as to meet passengers' requirements for ride comfort.

     

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