An Approach for Interior Noise Prediction of High-speed Trains Based on Experimental Statistical Energy Analysis

被引：0
|
作者：
Zhang J. [1 ,2 ]
Yao D. [2 ]
Wang R. [3 ]
Xiao X. [2 ]
机构：
[1] State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute, Sichuan University, Chengdu
[2] State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu
[3] School of Urban Rail Transit, Changzhou University, Changzhou
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2020年 / 42卷 / 11期
关键词：
Coupling loss factor; Damping loss factor; High-speed train; Interior noise; Modal density; Statistical energy analysis;
D O I：
10.3969/j.issn.1001-8360.2020.11.007
中图分类号：
学科分类号：
摘要：
This paper presented an approach for the interior noise prediction of high-speed trains based on Experimental Statistical Energy Analysis (ESEA). Firstly, according to the principle of Statistical Energy Analysis (SEA) and the structural characteristics of a high-speed train, upon the division of the compartment subsystem, the interior noise prediction model was established. Then, the key parameters of SEA for the simulation model were obtained through various experiments including: The modal density of a structural subsystem or an acoustical cavity subsystem; the damping loss factor of a structural subsystem or an acoustical cavity subsystem; the coupling loss factors between two structural subsystems, a structural subsystem and an acoustical cavity subsystem, and two acoustical cavity subsystems; and the power inputs of each subsystem. Finally, by comparing the prediction results of the interior noise with the field measurements, the reliability and accuracy of the modeling method and the simulation model were verified. This paper can provide a basis for the noise modeling and prediction of rail vehicles and other related transportation equipment. © 2020, Department of Journal of the China Railway Society. All right reserved.
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页码：45 / 52
页数：7
相关论文
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