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A Statistical Energy Analysis Model of a Metro Train Running in a Tunnel for Prediction of the Internal Noise

  • Yunfei Zhang,
  • Li Li,
  • Hongxiao Li

摘要

The current work aims to propose a statistical energy analysis (SEA) model for simulating a metro train in a tunnel, considering mechanics/acoustic excitation, the damping/coupling loss factors, reverberation time in tunnel/coach, and the equivalent panels. The experimental data were used to verify the calculation results of the model. The characteristics of noise spectrum distribution and longitudinal spatial sound pressure distribution were analyzed on the SEA model. The interior noise was controlled by radiating acoustic absorbing materials on the inner wall of the tunnel.