Prediction and Analysis on Sound Insulation Characteristics of Vacuum Glass Windows for High-speed Trains Based on Hybrid FTMM-SEA Method
The use of vacuum glass,with prominent lightweight and high sound insulation advantages,for high-speed train windows is a new solution for reducing interior noise in lightweight high-speed trains.This paper presented a hybrid method of Finite Transfer Matrix Method(FTMM)and Statistical Energy Analysis(SEA)to predict the Sound Trans-mission Loss(STL)of a vacuum glass window.The propagation of sound waves in vacuum glass windows was divided in-to two independent paths:the airborne path(along the vacuum layer)and the structure-borne path(along sound bridg-es).The FTMM and SEA methods were used separately for the calculation of the sound power transmission coefficients of the two paths.The models were verified by comparison with measured data.Further investigation was conducted on the effects of the stiffness of sound bridges on the energy transfer between coupling plates and STL of the vacuum glass.The results show that reducing the stiffness of the sound bridges is an effective method to increase the STL of the vacuum glass windows.Compared to the rigid sound supports,the soft support is more efficient in absorbing energy and isolating vibration.
high-speed trainwindowvacuum glasstransfer matrix methodstatistical energy analysis
万方数据
维普
