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A comparative study of high-speed train noise prediction models

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The present train noise prediction model in Chinese standards (HJ 453-2008 and HJ 2.4-2009) is only aimed for conventional train. Aerodynamic/rolling noise contribution of high-speed train noise are different from those of conventional train noise, thus, the Chinese prediction model might not be adaptable for the prediction of high-speed train noise. The aim of this paper is to discuss the noise prediction models of high-speed train above 300 km/h. Based on the comparative analysis of different models, our work mainly focus on noise source identification. Firstly the sound pressure level distribution on the surface of high-speed train body is investigated. In order to overcome the shortage of single line source, the noise source is divided into three line sources of different heights parallel to each other according to the energy distribution of sound source. Then sound pressure level generated by the three line sources at the receiving point is calculated separately. Finally the predicting outcomes are compared with measured results to verify the reliability of the model.
Title: A comparative study of high-speed train noise prediction models
Description:
The present train noise prediction model in Chinese standards (HJ 453-2008 and HJ 2.
4-2009) is only aimed for conventional train.
Aerodynamic/rolling noise contribution of high-speed train noise are different from those of conventional train noise, thus, the Chinese prediction model might not be adaptable for the prediction of high-speed train noise.
The aim of this paper is to discuss the noise prediction models of high-speed train above 300 km/h.
Based on the comparative analysis of different models, our work mainly focus on noise source identification.
Firstly the sound pressure level distribution on the surface of high-speed train body is investigated.
In order to overcome the shortage of single line source, the noise source is divided into three line sources of different heights parallel to each other according to the energy distribution of sound source.
Then sound pressure level generated by the three line sources at the receiving point is calculated separately.
Finally the predicting outcomes are compared with measured results to verify the reliability of the model.

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