中南大学学报（自然科学版）2024，Vol.55Issue(5)：1734-1744,11.DOI:10.11817/j.issn.1672-7207.2024.05.007
高速列车转向架区域气动发声尺度特征研究
Scale study on aeroacoustic characteristics of high-speed train bogie region
摘要
Abstract
The 1꞉8 scaled simplified bogie model at train speed of 400 km/h was simulated employing large eddy simulation(LES)and finite element acoustics.The flow disturbance characteristics and aerodynamic sound characteristics of the same model at 1꞉4,1꞉8,1꞉16 and 1꞉25 scale were simulated and compared.The results show that there is a pronounced coupling effect between the leading shear flow within the bogie region and the bogie structure and cavity,revealing two distinctive cyclic feedback disturbance modes denoted as L1 and L2.Additionally,secondary disturbances among the bogie structure are observed,intensifying the instability of the shear flow and serving as the primary modes of aerodynamic sound in the region.The simulations at 1꞉4,1꞉8,1꞉16 and 1꞉25 scale sizes reveal significant alterations in flow disturbance characteristics,especially in the L2 feedback mode,as the scale varies.With the decrease of scale,fluctuations in surface pressure and acoustic source energy shift towards higher frequencies.The source energy exhibited an initial decrease followed by an increase,within a range of 2 dB.Furthermore,the proportion of source energy originating from the structure and rear wheel pair increases.When the scale ratio are 1꞉4,1꞉8,1꞉16,and 1꞉25,the frequency-corrected standard point average sound pressure levels are recorded as 105.5,103.9,104.3,and 105.1 dB(A),respectively,presenting a range of 1.6 dB.Anticipatedly,this discrepancy is expected to be amplified for a full-scale model.关键词
高速列车/转向架/尺度效应/气动噪声/大涡模拟/声学有限元Key words
high-speed train/bogie/scale effects/aerodynamic noise/LES/acoustic finite element分类
交通工程引用本文复制引用
卢鑫源,刘翰林,杨志刚,吕镇东,袁思齐..高速列车转向架区域气动发声尺度特征研究[J].中南大学学报（自然科学版）,2024,55(5):1734-1744,11.基金项目
中国国家铁路集团有限公司科技研究开发计划项目(P2019J008) （P2019J008）
中南大学研究生科研创新项目(2022XQLH177)(Project(P2019J008)supported by Science and Technology Research Program of China National Railway Group Co.Ltd. （2022XQLH177）
Project(2022XQLH177)supported by the Graduate Student Independent Innovation Project of Central South University) （2022XQLH177）
