Rail profile optimization of a subway’s sharp curve considering multiple curve sections and metal removal

Author:

Wang Shuguo1ORCID,Xu Jingmang23,Liu Caiwei23,Qian Yao23ORCID,Wang Ping23,Wang Pu1,Ma Qiantao23,Liu Boyi23

Affiliation:

1. Railway Engineering Research Institute, Research Report China Academy of Railway Sciences, Beijing, China

2. Key Laboratory of High-Speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, China

3. School of Civil Engineering, Southwest Jiaotong University, Chengdu, China

Abstract

In order to effectively address the engineering problem of optimizing the worn rail profile on subway sharp-radius curves, this paper focuses on the inconsistent wear characteristics of rails on such curves. The contact stress, wheel-rail lateral force, and wear index are taken as objective functions, and key rail profiles at the points of straight-transition, transition-curve, curve-midpoint, circular-transition, and transition-straight are selected. A multi-objective and multi-section optimization scheme based on the optimized limit curve is proposed to design the grinding profile for rails on subway sharp-radius curves. In order to compare its optimization effectiveness, two additional optimization schemes are presented: the second scheme involves multi-section profile optimization with no optimized limit curve as constraints, and the third scheme deals with optimizing a single profile for grinding with equal cross-sections. Through a comparison of the three optimization schemes, the results indicate that all three schemes lead to a reduction in the contact stress, wheel-rail lateral force, and wear index of the outer and inner stock rails after optimization. Scheme 1 shows a more extensive and uniform distribution of wheel-rail contact points, with larger reductions in contact stress and increases in contact area. Scheme 3 only improves contact in severely worn sections, while in less worn sections, the contact distribution becomes concentrated, accelerating wear evolution. Furthermore, in Scheme 1, the cumulative wear after 100,000 and 200,000 cycles is reduced by a maximum of 8.44% and 22.33% compared to before optimization, making it the most effective among the three schemes. Therefore, the optimized profile output by the optimization method proposed in this paper is considered the best solution, which is represented by Scheme 1.

Funder

Natural Science Foundation of Sichuan Province

National Key Research and Development Program of China

Open fund project of State Key Laboratory of high-speed Railway track Technology

Technology Research and Development Program of China National Railway Group Co.Ltd

Fundamental Research Funds for the Central Universities

Publisher

SAGE Publications

Reference21 articles.

1. Zhai W, Zhao C. Froniters and challenges of sciences and technologies in modern railway engineering. Chengdu, China: Journal of Southwest Jiaotong University, 2016; 29(2), 209–226.

2. Hybrid Genetic Algorithm for Elimination of Severe Stress Concentration in Railhead Ends

3. Minimization of railhead edge stresses through shape optimization

4. Optimization of the target profile for asymmetrical rail grinding in sharp-radius curves for high-speed railways

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