0
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Effect of model scale and airflow velocity on aerodynamic noise prediction for high-speed train leading car and bogie

, , &
Article: 2384445 | Received 24 Apr 2024, Accepted 20 Jul 2024, Published online: 02 Aug 2024

Figures & data

Table 1. Comparison of model scale and inflow velocity used for noise simulation in the literature.

Figure 1. Full model and sub-model of high-speed train: (a) full model, (b) sub-model and (c) bogie model.

Figure 1. Full model and sub-model of high-speed train: (a) full model, (b) sub-model and (c) bogie model.

Figure 2. Computational domain of the full model and sub-model.

Figure 2. Computational domain of the full model and sub-model.

Table 2. Case descriptions.

Figure 3. Distribution of surface y+ values based on the full model of case0.

Figure 3. Distribution of surface y+ values based on the full model of case0.

Figure 4. Position diagram of acoustic receivers (case0).

Figure 4. Position diagram of acoustic receivers (case0).

Figure 5. Comparison of acoustic results of train surface under different mesh densities.

Figure 5. Comparison of acoustic results of train surface under different mesh densities.

Figure 6. Distribution of grids on and around the train surface.

Figure 6. Distribution of grids on and around the train surface.

Table 3. Comparison of far-field noise results under different grid densities.

Table 4. Solver settings for numerical simulation.

Figure 7. Isolated wheelset model for numerical validation.

Figure 7. Isolated wheelset model for numerical validation.

Figure 8. Comparison of noise spectra for far-field acoustic receivers: (a) top receiver and (b) side receiver.

Figure 8. Comparison of noise spectra for far-field acoustic receivers: (a) top receiver and (b) side receiver.

Figure 9. Time-averaged pressure distribution on the: (a) train surface and (b) train bottom.

Figure 9. Time-averaged pressure distribution on the: (a) train surface and (b) train bottom.

Figure 10. Train surface monitoring point location diagram.

Figure 10. Train surface monitoring point location diagram.

Figure 11. Spectrum characteristics of train surface pressure monitoring points: (a) Measurement points P1–P4 for case2, and (b) Measurement point P2 for different cases.

Figure 11. Spectrum characteristics of train surface pressure monitoring points: (a) Measurement points P1–P4 for case2, and (b) Measurement point P2 for different cases.

Figure 12. The instantaneous distribution of vortex structure in bogie region with different Q~ values, coloured by velocity: (a) case0,(b) case1 and (c) case2.

Figure 12. The instantaneous distribution of vortex structure in bogie region with different Q~ values, coloured by velocity: (a) case0,(b) case1 and (c) case2.

Figure 13. The instantaneous vorticity field distribution on the longitudinal central section (y = 0) and the vertical section (z = 0.18H): (a) case0, (b) case1 and (c) case2.

Figure 13. The instantaneous vorticity field distribution on the longitudinal central section (y = 0) and the vertical section (z = 0.18H): (a) case0, (b) case1 and (c) case2.

Figure 14. Comparison of flow field at the bottom of train: (a) dimensionless time-averaged velocity and (b) time-averaged vorticity magnitude.

Figure 14. Comparison of flow field at the bottom of train: (a) dimensionless time-averaged velocity and (b) time-averaged vorticity magnitude.

Figure 15. The instantaneous vortex core distribution in the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 15. The instantaneous vortex core distribution in the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 16. Surface pressure fluctuation distribution in the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 16. Surface pressure fluctuation distribution in the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 17. Mean velocity distribution near the wall of the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 17. Mean velocity distribution near the wall of the bogie region: (a) case0, (b) case1 and (c) case2.

Figure 18. The instantaneous turbulent kinetic energy distribution around the train: (a) case0, (b) case1 and (c) case2.

Figure 18. The instantaneous turbulent kinetic energy distribution around the train: (a) case0, (b) case1 and (c) case2.

Figure 19. Division of sound source components.

Figure 19. Division of sound source components.

Figure 20. OASPL comparison of different components as noise sources: (a) case0, (b) case1 and (c) case2.

Figure 20. OASPL comparison of different components as noise sources: (a) case0, (b) case1 and (c) case2.

Figure 21. Comparison of OASPL results in different cases: (a) total, (b) car body, (c) cavity and (d) bogie.

Figure 21. Comparison of OASPL results in different cases: (a) total, (b) car body, (c) cavity and (d) bogie.

Figure 22. OASPL comparison for each component of the bogie: (a) front wheelset, (b) rear wheelset, (c) frame and (d) bolster.

Figure 22. OASPL comparison for each component of the bogie: (a) front wheelset, (b) rear wheelset, (c) frame and (d) bolster.

Figure 23. Comparison of noise spectra at receiver r6, with a frequency resolution of 10 Hz: (a) car body, (b) cavity, (c) bogie and (d) rear wheelset.

Figure 23. Comparison of noise spectra at receiver r6, with a frequency resolution of 10 Hz: (a) car body, (b) cavity, (c) bogie and (d) rear wheelset.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.