400 km/h高速列车头车的车内噪声预测

Prediction of the Interior Noise of the Head Car of 400 km/h High-Speed Train

摘要: 随着列车运行速度的不断提高，高速列车车内的乘坐舒适性受到了更多关注。本文利用混合有限元–统计能量分析方法建立高速列车头车模型，通过对模型施加350 km/h激励数据得到车内噪声结果，与试验数据进行对比，验证模型准确性；通过对测试声源数据拟合外推，加载得到400 km/h车内噪声预测结果，为400 km/h高速列车的设计提供技术支持。

Abstract: With the continuous improvement of train running speed, more attention has been paid to the ride comfort in high-speed trains. In this paper, the FE-SEA method is used to establish a model of the head car of a high-speed train. The noise results are obtained by applying 350 km/h excitation data to the model, which is compared with the test data to verify the accuracy of the model. By fitting and extrapolating the test data of sound source, the 400 km/h interior noise prediction results are obtained, which provides technical support for the design of 400 km/h high-speed train.