Analysis of the causes of severe side wear of the high rail on metro curves by numerical simulation and field investigation

Author:

Wang Shenghua12,Wen Bingguang3,Ren Dexiang3ORCID,Ding Yaqi2,Wen Zefeng3,Dong Dawei1,Tao Gongquan34ORCID

Affiliation:

1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China

2. Technical Center, Shanghai Shentong Metro Group Co. Ltd, Shanghai, People’s Republic of China

3. State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, People’s Republic of China

4. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, People’s Republic of China

Abstract

Two of the Shanghai metro lines suffered from severe side wear on the high rail, not only in sharp curves but also in large curves, and the service life of some rails on sharp curves was reduced by approximately 50% compared with the last rail replacement. Features and evolution rules for the rail side wear and the wheel flange wear were determined by field measurements and long-term monitoring. A rail wear prediction model, verified in our previous work, is used to reveal the influence of factors on rail wear. The results indicate that the poor lubrication condition at the rail gauge face is the main cause of severe side wear of the high rail, and the use of wheel profiles with low conicity and the loss of profile curvature of low rail profiles caused by the untimely maintenance also increase the side wear of the high rail. The service life of the high rail could be greatly extended by some countermeasures, such as repairing the worn shape of the low rail and repairing/improving the wayside lubrication system.

Funder

China Postdoctoral Science Foundation

Opening Project of Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province

Natural Science Foundation of Sichuan Province

Publisher

SAGE Publications

Subject

Mechanical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3