TY - GEN
T1 - Research Advances on Aerodynamic Noise of High-Speed Trains
AU - Zhuoming, Li
AU - Qiliang, Li
AU - Ruisi, Lu
AU - Zhigang, Yang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2024
Y1 - 2024
N2 - With the increase in operating speed, aerodynamic noise become the tech-nical bottleneck restricting the development of the high-speed railway. This paper reviews the research on the aerodynamic noise of high-speed trains from the perspec-tives of prediction, mechanism analysis and noise control methods. In terms of predic-tion methods, the research on the aerodynamic noise of high-speed trains is mainly based on static and dynamic trains, and the wind tunnel test and the field tests are the typical corresponding experimental methods, respectively. Based on the flow-filed simulation, the FW-H equation, the APE equation, and other calculation methods are mainly applied to predict the far and near field noise accurately in simulation. The regions with severe flow separation, such as bogies and pantographs, etc., are identified as the primary noise sources. In terms of mechanism analysis, unsteady flow statistics are helpful in identifying sound sources empirically. Furthermore, the sound source term based on the aerodynamic noise calculation methods can theo-retically characterize the sound source characteristics. The reduced-order method, coherence analysis and other statistical analysis methods are applied to clarify the relationship between the flow field. The aerodynamic noise can be optimized by passive control methods, such as the bogie cavity fairing, and active control methods, such as the airflow jet. The noise control methods can be further optimized combined with parametric modeling, genetic algorithm and other methods, which deserve more attention.
AB - With the increase in operating speed, aerodynamic noise become the tech-nical bottleneck restricting the development of the high-speed railway. This paper reviews the research on the aerodynamic noise of high-speed trains from the perspec-tives of prediction, mechanism analysis and noise control methods. In terms of predic-tion methods, the research on the aerodynamic noise of high-speed trains is mainly based on static and dynamic trains, and the wind tunnel test and the field tests are the typical corresponding experimental methods, respectively. Based on the flow-filed simulation, the FW-H equation, the APE equation, and other calculation methods are mainly applied to predict the far and near field noise accurately in simulation. The regions with severe flow separation, such as bogies and pantographs, etc., are identified as the primary noise sources. In terms of mechanism analysis, unsteady flow statistics are helpful in identifying sound sources empirically. Furthermore, the sound source term based on the aerodynamic noise calculation methods can theo-retically characterize the sound source characteristics. The reduced-order method, coherence analysis and other statistical analysis methods are applied to clarify the relationship between the flow field. The aerodynamic noise can be optimized by passive control methods, such as the bogie cavity fairing, and active control methods, such as the airflow jet. The noise control methods can be further optimized combined with parametric modeling, genetic algorithm and other methods, which deserve more attention.
KW - Aerodynamic noise
KW - High-speed trains
KW - Numerical simulation
KW - Wind tunnel test
UR - https://www.scopus.com/pages/publications/85199195296
U2 - 10.1007/978-981-99-7852-6_1
DO - 10.1007/978-981-99-7852-6_1
M3 - 会议稿件
AN - SCOPUS:85199195296
SN - 9789819978519
T3 - Lecture Notes in Mechanical Engineering
SP - 3
EP - 37
BT - Noise and Vibration Mitigation for Rail Transportation Systems - Proceedings of the 14th International Workshop on Railway Noise, 2022
A2 - Sheng, Xiaozhen
A2 - Degrande, Geert
A2 - Gautier, Pierre-Etienne
A2 - Kuijpers, Ard
A2 - Towers, David A.
A2 - Tielkes, Thorsten
A2 - Thompson, David
A2 - Nielsen, Jens C.O.
A2 - Nagakura, Kiyoshi
A2 - Nelson, James Tuman
A2 - Anderson, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Work-shop on Railway Noise, IWRN 2022
Y2 - 7 December 2022 through 9 December 2022
ER -