铁道科学与工程学报2024，Vol.21Issue(6)：2151-2161,11.DOI:10.19713/j.cnki.43-1423/u.T20231434
导流板结构对高速列车转向架区域积雪结冰的影响
Influence of the deflector on the snow and ice accumulation for bogie region of the high-speed train
摘要
Abstract
The bogies of high-speed trains(HSTs)suffer the accumulated snow and ice issues,which greatly influences operating safety and stability.In order to solve the problem of snow accumulation on the bogies of HSTs,a deflector structure based on the flow field control method was proposed to confirm the safety and quality of the HSTs'operation.The simplified train body and bogie model were used to simulate the flow field and snow particle distribution on the bogie.The 3D Reynolds-Averaged Realizable k-ε turbulence model was coupled with the Discrete Phase Model(DPM)and verified by wind tunnel tests.The cause of the accumulated snow and ice in the bogie region was clarified,and the effectiveness of the deflector in preventing snow and ice further analyzed.The results show that the front deflector structure can effectively change the direction of the airflow entering the bogie area,decrease the airflow speed above the bogie,relieve the impact of the airflow on the bottom surface of the bogie,and reduce the distribution and the amount of snow particles around the bogie.Compared with the original condition,for the first bogie,the amount of snow particles decrease by 22.56%and 52.15%sequentially;for the second bogie,the amount of snow particles decrease by 48.50%and 49.59%sequentially;and for the third bogie,the amount of snow particles decrease by 50.03%and 49.70%sequentially.However,along the direction of the train,the effect of the deflector is weakened,so the actual grouping conditions and the experimental work for the model machine will be studied in the future.关键词
高速列车/转向架/积雪结冰/离散相模型/数值模拟/流场控制Key words
high-speed train/bogie/snow and ice/DPM/numerical simulation/flow field control分类
交通工程引用本文复制引用
田金刚,邓海,张怀强,刘涛,王家斌,高广军..导流板结构对高速列车转向架区域积雪结冰的影响[J].铁道科学与工程学报,2024,21(6):2151-2161,11.基金项目
国家自然科学基金青年科学基金资助项目(52202429) （52202429）
湖南省自然科学基金资助项目(2023JJ40747) （2023JJ40747）
