Model of HighSpeed Railway Noise Prediction Based on MultiSource Mode

Abstract:

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.