基于多声源模式的高速铁路噪声预测模型
Model of High Speed Railway Noise Prediction Based on Multi Source Mode
投稿时间: 2016-06-22  最后修改时间: 2016-10-19
DOI:10.11908/j.issn.0253-374x.2017.01.009     稿件编号:    中图分类号:U238;U270.1+6
 
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中文摘要
      基于多通道噪声振动实时采集与分析系统,利用平面传声器和高声强传声器对运行速度300 km?h-1以上的高速列车车体表面噪声源进行测试和分析.将高速列车声源等效为车底部线声源、车中部线声源和受电弓点声源.对列车通过时噪声测试数据进行理论计算,利用最小二乘法确定了高速列车以300 km?h-1速度在路堤线路上运行时3部分子声源的源强,由此建立了多声源模式下高速铁路噪声预测模型.将不同声源模式下的预测结果与实测结果进行对比,验证了该模型的有效性.该研究成果为我国制定高速铁路噪声预测标准提供了理论依据.
英文摘要
      Based on the noise vibration multi channel real time acquisition analysis system, the noise sources of the high speed train surface were tested and analyzed using the planar microphones and high intensity microphones, when the running speed of the train was over 300 km?h-1. The two line sources at the bottom and middle of the train and the point sources for pantographs were equated to the sound source of high speed train. The noise reference levels of the three sources were determined by the least square method and the theoretical calculation of train through noise test data, based on which, the model of high speed railway noise prediction was established under multi source mode. At the moment, the high speed train was running on an embankment line at a speed of 300 km?h-1. The validity of noise prediction was checked against experimental results, with good agreement. The results provide theoretical basis for establishing the systemic model of high speed railway noise prediction.
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