Investigation on aerodynamic noise reduction for snow-plough of high-speed train

A set of acoustic optimization design methods is established by combining the flow field deterioration theory and the acoustic analogy theory, and applied to the acoustic optimization design of high-speed train snow-plough. The results show that the streamline bodies of the head/tail car are the most important sound sources, respectively, accounting for 23.7% and 33.7% of the total sound energy. Compared with the streamline body of tail head, the streamline body of head car is more biased towards high frequency for the sound source energy. The A-weighted radiated noise of the train body is characterized by broadband sound (mainly in the range of 1-4 kHz) and peak features (especially at 2 kHz). The snow-plough with the maximum expansion length can mitigate the strong peak effect of the sound at 2 kHz, reduce the total sound energy, and show the best acoustic radiation performance in the four schemes. The numerical computation model was checked by the wind tunnel test results.