期刊文献+

变残留率的有砟轨道高低不平顺恢复模型 被引量:2

Vertical Track Irregularity Recovery Model of Ballast Track with Variable Residual Rate
下载PDF
导出
摘要 大机捣固与钢轨打磨可以显著改善轨道几何不平顺,在不同作业方式、不同线形状态下,轨道几何不平顺的改善效果是不同的.为了合理的安排养护维修作业计划,准确预测养修作业后轨道几何状态的改善状况,基于沪昆线捣固与打磨作业实践,分析了不同养修作业方式下的轨道不平顺恢复效果,以捣固作业为例,分别建立了直线、曲线和桥隧3种线形区段下的轨道不平顺恢复预测模型,最后根据现场实测数据对模型进行了验证,结果表明:模型在直线和曲线区段预测的相对误差均值在7%左右,在桥隧区段预测的相对误差均值在9%左右,预测效果良好. Ballast tamping and rail grinding can significantly improve the geometric irregularity of the track,but improvement effect of the track irregularity is different in different modes of operation and in different linear conditions.In order to arrange the maintenance plan reasonably and predict the improvement of the track geometry status after the operation accurately,based on the tamping and grinding operations practice in the Shanghai-Kunming high-speed railway and took tamping as an example,this paper analyzed the effect of recovery in different modes of maintenance and repairing operation and established a geometric irregularity recovery model of ballast track under the three linear sections of straight line,curve and bridge and tunnel.Finally,the model was verified according to the field measured data.The results indicate that the relative error of the model is about 7%in the straight line and the curve section,and the relative error is about 9%in the bridge and tunnel section,and the predicting effects are very good.
作者 许玉德 乔雨 沈坚锋 邱俊兴 刘一鸣 XU Yu-de;QIAO Yu;SHEN Jian-feng;QIU Jun-xing;LIU Yi-ming(Key Laboratory for Road and Traffic Engineering of Ministry of Education, Tongji University,Shanghai 201804,China;CCCC Investment Company Ltd,Beijing 100029,China)
出处 《兰州交通大学学报》 CAS 2018年第1期1-5,13,共6页 Journal of Lanzhou Jiaotong University
基金 国家自然科学基金(51678445)
关键词 道路与铁道工程 恢复模型 高低不平顺 有砟轨道 大机捣固 钢轨打磨 Highway and Railway Engineering recovery model vertical track irregularity ballast track tamping grinding
  • 相关文献

参考文献12

二级参考文献129

共引文献306

同被引文献19

引证文献2

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部