Prediction Analysis of Internal Structure Noise of Train Based on FE-SEA Hybrid Method

In order to predict the structural noise within a high-speed train, a hybrid method that integrates the advantages of the finite element method (FEM) and statistical energy analysis (SEA) was employed based on the acoustic-solid coupling theory, to build a model to predict the internal structure noise resulting from the vehicle-acoustic cavity coupling. When the train body is under the vertical secondary suspension force, its structure vibration, internal noise at a wide frequency band (0~500 Hz) and the contribution from each component of train body to the internal noise were analyzed. The results show that the proposed FE-SEA model can accurately predict the vibration and internal noise of the train with high calculation efficiency. Under the vertical secondary suspension force, the discrepancies of the internal noise at different positions within the train are small, and the variation trend of the internal noise is almost the same as that of the vertical secondary suspension force. In addition, the structure vibration of the train body is more remarkable at low frequencies. It was also found that the floor has the largest vibration acceleration and speed among all the components within the train body, and has the most significant influence on the internal noise of the train. Therefore, it is feasible to reduce the internal noise by optimizing the floor structure. © 2017, Editorial Office of Journal of the China Railway Society. All right reserved.