中南大学学报（自然科学版）2024，Vol.55Issue(3)：1201-1217,17.DOI:10.11817/j.issn.1672-7207.2024.03.031
400 km/h高速列车转向架底板的阻力影响数值模拟研究
Numerical study on influence of the bogie bottom plate on aerodynamic drag of high speed train running at 400 km/h
摘要
Abstract
Numerical simulations was made to study the influence of the bogie covering structure on the aerodynamic resistance of the high-speed train running at 400 km/h in the open air.The drag and flow structures of high speed train with different covering forms were analyzed,and the installation heights and gap spacing of covering structure were selected for comparison.The results show that both the fully enclosed and separated type covering structures have great drag reduction effects on the whole train,and the best drag reduction rate is up to 9.76%.The bogie area of the head car contributes most to the drag reduction,while the resistance of the middle car increases.And the more covering area of the front car,the larger resistance increase of the middle car.Meanwhile,the drag reduction variation of the covering structure with installation heights is non-monotonic.Proper downward movement is beneficial to the overall drag reduction,mainly because it reduces the bogie resistance of the intermediate car.Besides,when the gap spacing is maintained within a certain range,the drag reduction of the whole train does not change much.However,when the gap continues to increase,the drag reduction effect will become worse,because the excessive gap will significantly enhance the impact of air flow on the bogie and cabin,resulting in the decrease of aerodynamic drag of the train.关键词
高速列车/转向架/气动阻力/底板/计算流体力学Key words
high-speed train/bogie/aerodynamic resistance/bottom plate/computational fluid dynamics分类
交通工程引用本文复制引用
王雷,刘堂红,张师尚,陈蓉蓉,周斯琪,刘宏康..400 km/h高速列车转向架底板的阻力影响数值模拟研究[J].中南大学学报（自然科学版）,2024,55(3):1201-1217,17.基金项目
国家重点研发计划项目(2022YFB4301103) （2022YFB4301103）
湖南省科技创新计划项目(2022RC3040)(Project(2022YFB4301103)supported by the National Key R&D Program of China （2022RC3040）
Project(2022RC3040)supported by the Science and Technology Innovation Program of Hunan Province) （2022RC3040）
