高速列车车厢板破拆试验研究
Experimental study on the dismantling of high-speed train carriage panels
崔堃鹏 1关岩鹏 1梁晓良 2林金良 1何哲宏1
作者信息
- 1. 中国消防救援学院,北京 102202
- 2. 北京市海淀区消防救援支队,北京 100091
- 折叠
摘要
为了研究高速列车车厢破拆效果,以CRH380某车型车厢板为研究对象,利用7种破拆方式开展了破拆切割试验,并以切割速度为主要指标,对比分析各方法的效率及优缺点.结果表明:无齿锯(金刚石锯片)切割、氧乙炔焰切割、液压剪剪切高铁车厢板的效率极低,破拆无效;等离子切割、激光切割可以用于破拆车厢板,但是仪器笨重,不便于救援现场使用;砂轮无齿锯和双轮异向锯能够有效地完成切割与破拆工作,切割平均速度分别约为 3.38、5.68 mm/s,切割边长 60 cm救援等腰三角形的平均耗时为 532、317 s,切割时产生大量的热量,锯片磨损严重.极端情况下,对于一般高速列车车厢破拆救援场景,建议优先采用砂轮无齿锯和双轮异向锯切割车厢.
Abstract
In order to study the dismantling effect of high-speed train carriages,the carriage panels of a certain CRH380 model were taken as the research object.Seven dismantling methods were used to carry out dismantling and cutting experiments,and the efficiency and advantages and disadvantages of each method were compared and analyzed with cutting speed as the main indica-tor.The results show that the cutting efficiency of toothless saw(diamond saw blade),oxy-acetylene flame cutting,and hydraulic shear cutting high-speed railway carriage panels is extremely low,and the dismantling is ineffective;Plasma cutting and laser cutting can be used to break down carriage panels,but the instru-ments are bulky and not suitable for use on rescue sites;The grinding wheel toothless saw and the double wheel opposite direc-tion saw can achieve effective cutting and dismantling,with an av-erage cutting speed of about 3.38 mm/s and 5.68 mm/s,respec-tively.The average time for cutting an isosceles triangle with a side length of 60 cm is 532,317 s,respectively.During cutting,a large amount of heat is generated,and the saw blade is severely worn.For general high-speed train carriage dismantling and res-cue scenarios,it is recommended to prioritize using grinding wheel toothless saws and double wheel opposite direction saws to cut the carriage.
关键词
高速列车/车厢板/破拆试验/救援通道Key words
high-speed trains/carriage board/demolition test/res-cue channel引用本文复制引用
基金项目
国家重点研发计划(2023YFC3011700)
国家自然科学基金(51878036)
中国消防救援学院教育教学改革面上项目(2024)(2024SJJX08)
出版年
2024
NETL
NSTL
万方数据