Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves

[Objective] In order to explore the optimization method of the spatial alignment for the turnout guide curve and the performance of different alignments after optimization, as well as the influence of different alignments on the rail wear characteristic section in the turnout area, it is necessary t...

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Main Authors: LONG Jianbing, XU Hong, ZHANG Bin
Format: Article
Language:zho
Published: Urban Mass Transit Magazine Press 2025-04-01
Series:Chengshi guidao jiaotong yanjiu
Subjects:
Online Access:https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.04.035.html
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author LONG Jianbing
XU Hong
ZHANG Bin
author_facet LONG Jianbing
XU Hong
ZHANG Bin
author_sort LONG Jianbing
collection DOAJ
description [Objective] In order to explore the optimization method of the spatial alignment for the turnout guide curve and the performance of different alignments after optimization, as well as the influence of different alignments on the rail wear characteristic section in the turnout area, it is necessary to study the wear laws of each characteristic section of the turnout rail under different alignment conditions. [Method] A calculation method for the turnout plane alignment is proposed. Superelevation is set in the turnout guide curve, and high-order curves are introduced into the design and calculation of turnout alignment. Taking No.42 high-speed turnout in China as an example, four optimized turnout alignments different from the existing ones are designed and calculated; a vehicle-turnout coupling dynamic model is established, and the wear depth of the characteristic sections of the turnout rail is calculated in combination with the wheel-rail contact finite element model. A comparative analysis is made on the wear depth of the characteristic sections of the turnout rail under different line shape conditions. [Result & Conclusion] Under the condition of setting superelevation, wear depths at three characteristic sections of the four new alignments are all smaller than that of the existing ones; after changing the lead curve from a circular curve to a transition one, wear depths of the rail characteristic section in this guide curve are also greatly reduced; the application of high-order curves at the position of the turnout guide curve is also conducive to reducing the wear of the characteristic section in the selected guide curve rail.
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institution Kabale University
issn 1007-869X
language zho
publishDate 2025-04-01
publisher Urban Mass Transit Magazine Press
record_format Article
series Chengshi guidao jiaotong yanjiu
spelling doaj-art-af40d4876f3345c580c79e68841bfa842025-08-20T03:53:07ZzhoUrban Mass Transit Magazine PressChengshi guidao jiaotong yanjiu1007-869X2025-04-0128419119510.16037/j.1007-869x.2025.04.035Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide CurvesLONG Jianbing0XU Hong1ZHANG Bin2Ningbo Rail Transit Group Co., Ltd., 315101, Ningbo, ChinaChina Railway Eryuan Engineering Group Co., Ltd., 610031, Chengdu, ChinaState Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, 330013, Nanchang, China[Objective] In order to explore the optimization method of the spatial alignment for the turnout guide curve and the performance of different alignments after optimization, as well as the influence of different alignments on the rail wear characteristic section in the turnout area, it is necessary to study the wear laws of each characteristic section of the turnout rail under different alignment conditions. [Method] A calculation method for the turnout plane alignment is proposed. Superelevation is set in the turnout guide curve, and high-order curves are introduced into the design and calculation of turnout alignment. Taking No.42 high-speed turnout in China as an example, four optimized turnout alignments different from the existing ones are designed and calculated; a vehicle-turnout coupling dynamic model is established, and the wear depth of the characteristic sections of the turnout rail is calculated in combination with the wheel-rail contact finite element model. A comparative analysis is made on the wear depth of the characteristic sections of the turnout rail under different line shape conditions. [Result & Conclusion] Under the condition of setting superelevation, wear depths at three characteristic sections of the four new alignments are all smaller than that of the existing ones; after changing the lead curve from a circular curve to a transition one, wear depths of the rail characteristic section in this guide curve are also greatly reduced; the application of high-order curves at the position of the turnout guide curve is also conducive to reducing the wear of the characteristic section in the selected guide curve rail.https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.04.035.htmlrail transitturnoutguide curverail wearalignment optimization
spellingShingle LONG Jianbing
XU Hong
ZHANG Bin
Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
Chengshi guidao jiaotong yanjiu
rail transit
turnout
guide curve
rail wear
alignment optimization
title Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
title_full Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
title_fullStr Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
title_full_unstemmed Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
title_short Analysis of Turnout Rails Characteristic Section Wear Based on Spatial Alignments Optimization of Guide Curves
title_sort analysis of turnout rails characteristic section wear based on spatial alignments optimization of guide curves
topic rail transit
turnout
guide curve
rail wear
alignment optimization
url https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.04.035.html
work_keys_str_mv AT longjianbing analysisofturnoutrailscharacteristicsectionwearbasedonspatialalignmentsoptimizationofguidecurves
AT xuhong analysisofturnoutrailscharacteristicsectionwearbasedonspatialalignmentsoptimizationofguidecurves
AT zhangbin analysisofturnoutrailscharacteristicsectionwearbasedonspatialalignmentsoptimizationofguidecurves