Abstract
A hybrid statistical energy analysis (SEA) model for predicting the interior noise in a passenger cabin of a high-speed train was constructed. SEA parameters for the dominant transmission paths of the noise were estimated experimentally using the approximated power injection method (APIM). And parameters for the non-dominant transmission paths were obtained theoretically (for example, from the mass law). The passenger-cabin noise could then be calculated by the hybrid SEA model. This calculation was compared with the experimentally measured interior noise in a moving train. The comparison showed that the accuracy of the calculation model is 1 dB. It is thus concluded that this accurate hybrid SEA model can find the dominant paths of propagated sound and vibration in the passenger cabin and will, thus, lead to design of more comfortable highspeed train.
