Multi-objective optimisation of high-speed rail profile with small radius curve based on NSGA-II Algorithm

平滑度 多目标优化 半径 工程类 研磨 算法 结构工程 汽车工程 计算机科学 机械工程 数学优化 数学 计算机安全 数学分析
作者
Guofang Li,Xing Li,Meng Li,Na Tong,Shaopei Wu,Wangcai Ding
出处
期刊:Vehicle System Dynamics [Taylor & Francis]
卷期号:61 (12): 3111-3135 被引量:4
标识
DOI:10.1080/00423114.2022.2158878
摘要

The multi-objective optimisation of high-speed rail profile with small radius curve is studied in the paper. A multi-objective mathematical model for rail profile optimisation of high-speed railway is established. The CN60 rail profile is parameterised into a series of generalised functions of design variables. In order to guarantee the smoothness of the rail profile and meet the maximum grinding depth of rail in China, the constraints are employed. The wheel-rail vertical clearance and equivalent conicity of wheelset are taken as objective functions, and a rail wear prediction programme is compiled. Contact line method is employed to complete the detection algorithm of wheel-rail contact points. Finally, NSGA-II Algorithm is adopted to solve the Pareto-optimal front of the optimisation model. A set of solutions are retrieved from the Pareto optimal front solution as the optimised profile. The optimised rail profile and the original rail profile are matched with the LMA wheel profile (a certain worn type of wheel profiles for EMU in China) respectively. It is testified that the rail profile could effectively reduce the rail wear and improve curving performance. The new method proposed in this paper can provide some reference for the optimisation design of high-speed rail profile with small radius curve.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
小爽完成签到,获得积分10
2秒前
大欣发布了新的文献求助30
2秒前
2秒前
rrdll完成签到,获得积分20
2秒前
在水一方应助睡个懒觉采纳,获得10
3秒前
风中凡白完成签到 ,获得积分10
3秒前
意面完成签到,获得积分10
5秒前
5秒前
hongyun发布了新的文献求助10
6秒前
AAAAa完成签到,获得积分10
6秒前
7秒前
9秒前
9秒前
PDL_发布了新的文献求助10
10秒前
11秒前
认真的月亮完成签到 ,获得积分10
12秒前
亮仔完成签到,获得积分10
13秒前
jeesy发布了新的文献求助10
14秒前
陆家麟发布了新的文献求助30
14秒前
pluto应助玉子卿采纳,获得10
15秒前
石头完成签到,获得积分10
16秒前
王正正完成签到,获得积分10
16秒前
贪玩的秋柔应助Liu采纳,获得10
16秒前
19秒前
呼啦完成签到 ,获得积分10
19秒前
上官若男应助xrima采纳,获得10
22秒前
alpaca完成签到,获得积分10
22秒前
淋延完成签到,获得积分10
23秒前
格子发布了新的文献求助10
23秒前
传奇3应助tjh采纳,获得10
27秒前
wqwaf完成签到,获得积分10
27秒前
27秒前
28秒前
不知道完成签到,获得积分0
28秒前
29秒前
30秒前
游一完成签到,获得积分10
30秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356462
求助须知:如何正确求助?哪些是违规求助? 8171260
关于积分的说明 17203746
捐赠科研通 5412294
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360