Community Noise Prediction of Digital High Speed Train Using LBM

Author(s):  
Mohammed Meskine ◽  
Franck Perot ◽  
Min-Suk Kim
2012 ◽  
Vol 131 (4) ◽  
pp. 3263-3263
Author(s):  
Guo Yanjie ◽  
Liang Junhai ◽  
Wang Dongzhen ◽  
Ge Jianmin

Author(s):  
Lifang Yang ◽  
Xiaowei He ◽  
Fanyu Meng

China’s rapid development of high-speed train has been in the research spotlight over the years; this paper presents a method to predict the transmission of aerodynamic noise and rail noise inside train compartments for high-speed trains operating at speeds larger than 200 km/h. The numerical tool could be used in parameter studies for noise control. In order to develop the noise prediction model of high speed train, the noise source of high-speed train is analyzed. Based on the noise analysis, the SEA model is built. Due to the small noise difference in one train car, the SEA model is divided into head cab, head passenger cab and middle car three parts. Combined with the finite and boundary element method, the input power and SEA parameters are researched and calculated. In the end of the paper, the results of SEA noise predicting model are compared with theoretical calculation results in order to verify the engineering use.


2008 ◽  
Vol 123 (5) ◽  
pp. 3259-3259
Author(s):  
Massimo Viscardi ◽  
Michele Iadevaia ◽  
Salvatore Melchionna ◽  
Leonardo Lecce

Sign in / Sign up

Export Citation Format

Share Document