Article(id=1308454719953854505, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.04.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1781193600000, receivedDateStr=2026-06-12, revisedDate=1783440000000, revisedDateStr=2026-07-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889515150, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889515150, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889515150, creator=13701087609, updateTime=1789889515150, updator=13701087609, issue=Issue{id=1308454712513156008, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='4', pageStart='1', pageEnd='197', issueExtLink='null', onlineDate='null', pubDate='1786291200000', pubDateStr='2026-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1789889513376, creator='13701087609', updateTime=1789889839088, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308456079029986178, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308456079029986179, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=93, endPage=99, ext={EN=ArticleExt(id=1308454723519012911, articleId=1308454719953854505, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Optimization of Braking Performance for Urban Rail Trains under Extreme Weather Conditions, columnId=1308454713645618089, journalTitle=Urban Rapid Rail Transit, columnName=Special Feature: 200th Issue, runingTitle=null, highlight=null, articleAbstract=
To improve the operational safety of urban rail transit trains, mitigate train operation risks under extreme weather conditions, and address the significant performance decline of traditional wheel-rail adhesion-based braking methods, this paper investigates the vibration generation mechanism and dynamic response characteristics of high-suspension magnetic track brakes under emergency braking conditions. Based on its working principle of electromagnetic adhesion and friction braking, the vibration characteristics are identified by simulating the effects of rainy and snowy weather on the track. The vibration transmission path consisting of the braking device, bogie, and car body is established. Vertical and lateral vibration data under various working conditions are collected via triaxial acceleration sensors, and a quantitative evaluation of vehicle running safety and ride comfort is conducted based on ride smoothness and stability indices. The results show that under wet track conditions in rainy and snowy weather, the peak vibration acceleration of the high-suspension magnetic track brake is less than 2.5 m/s2. Vibration is transmitted through the bogie-car body path and exerts a minor impact on the service life of on-board electronic equipment. The braking mode of the high-suspension magnetic track brake has little effect on vehicle ride smoothness. Adding magnetic track brakes is of great engineering value for ensuring the high-speed, safe, and comfortable operation of urban rail transit under diverse complex meteorological conditions.
, authors=Guangwu Yang
1, Fan Zhang
2, Qi Liu
3, Saisai Liu
4, Sen Liu
5, authorsList=Guangwu Yang, Fan Zhang, Qi Liu, Saisai Liu, Sen Liu, authorCompany=null, correspAuthors=Qi Liu, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308454723762282544, articleId=1308454719953854505, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=极端气候条件下城轨列车制动性能优化方法研究, columnId=1308454713796613035, journalTitle=都市快轨交通, columnName=200期专辑, runingTitle=null, highlight=null, articleAbstract=
为提升城市轨道交通列车运行的安全性,抵御极端气候条件下带来的列车运行风险,克服传统依赖轮轨黏着的制动方式效能大幅降低的不足,针对城市轨道交通频繁启停、工况复杂,特别是雨雪极端天气影响的特点,研究高悬挂磁轨制动器在紧急制动工况下的振动产生机理与动态响应规律。基于“电磁吸附-摩擦制动”的工作机制,通过模拟雨雪天气对线路的影响,识别出其振动特征。建立“制动装置—转向架—车体”振动传递路径,通过三轴加速度传感器采集不同工况下的垂向与横向振动数据,结合平稳性与稳定性指标对车辆运行安全性及舒适性进行量化评估。研究结果表明:在雨雪天气湿轨工况时,高悬挂磁轨制动器振动加速度峰值小于2.5 m/s2,振动通过转向架—车体传递,对车载电子设备使用寿命影响较小;高悬挂磁轨制动器制动模式对车辆运行平稳性几乎无影响,通过增加磁轨制动对保障城市轨道交通在各类复杂气象条件下高速、安全、舒适运营具有重要工程价值。
, authors=杨广武
1, 张帆
2, 刘琦
3, 刘赛赛
4, 刘森
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1.Beijing Society of Metros, Beijing 100028, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308454726199173188, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, authorId=1308454726006235201, language=CN, stringName=杨广武, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.北京市轨道交通学会,北京 100028, bio={"content":"
杨广武,男,博士,教授级高级工程师,从事轨道交通工程相关研究,ygw0066@sina.com
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杨广武,男,博士,教授级高级工程师,从事轨道交通工程相关研究,ygw0066@sina.com
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2.Beijing Metro Operation Co., Ltd., Operation Fourth Branch, Beijing 100103, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308454726429859913, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, authorId=1308454726283059270, language=CN, stringName=张帆, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.北京市地铁运营有限公司,北京 100103)])]), Author(id=1308454726496968779, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1457837906@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1308454726568271949, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, authorId=1308454726496968779, language=EN, stringName=Qi Liu, firstName=Qi, middleName=null, lastName=Liu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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3.北京交通运输职业学院,北京 102200, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1308454724156547127, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, xref=3., ext=[AuthorCompanyExt(id=1308454724164935736, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, companyId=1308454724156547127, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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3.北京交通运输职业学院,北京 102200)])]), Author(id=1308454726719266896, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, orderNo=3, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1308454726803152978, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454719953854505, authorId=1308454726719266896, language=EN, stringName=Saisai Liu, firstName=Saisai, middleName=null, lastName=Liu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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