DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE

To ensure the safety of train operation in the plateau permafrost region of the Golmud⁃Lhasa section of the Qinghai Tibet Railway Phase II project,based on the original time series elevation data of railway subgrade in permafrost region,the product season model under various subgrade types is establ...

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Main Authors: WANG JinBo, TANG JiaYin, LIU XinLing, WU Yi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2024-08-01
Series:Jixie qiangdu
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Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.04.020
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author WANG JinBo
TANG JiaYin
LIU XinLing
WU Yi
author_facet WANG JinBo
TANG JiaYin
LIU XinLing
WU Yi
author_sort WANG JinBo
collection DOAJ
description To ensure the safety of train operation in the plateau permafrost region of the Golmud⁃Lhasa section of the Qinghai Tibet Railway Phase II project,based on the original time series elevation data of railway subgrade in permafrost region,the product season model under various subgrade types is established to fit the uneven settlement degradation trajectory of subgrade and effectively predicted elevation values with confidence intervals.The differential operation was used to analyze the subgrade settlement degradation values.The failure time extrapolation method was used to complete the reliability evaluation,and the settlement threshold was set based on driving safety.The simulation results show that it can accurately forecast permafrost thawing degradation,and the research findings can be used by the logistics support department to conduct daily subgrade maintenance.
format Article
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institution Kabale University
issn 1001-9669
language zho
publishDate 2024-08-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-f7354b7591e9458faf592d6a12110e452025-01-15T02:46:01ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692024-08-014690591379314430DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONEWANG JinBoTANG JiaYinLIU XinLingWU YiTo ensure the safety of train operation in the plateau permafrost region of the Golmud⁃Lhasa section of the Qinghai Tibet Railway Phase II project,based on the original time series elevation data of railway subgrade in permafrost region,the product season model under various subgrade types is established to fit the uneven settlement degradation trajectory of subgrade and effectively predicted elevation values with confidence intervals.The differential operation was used to analyze the subgrade settlement degradation values.The failure time extrapolation method was used to complete the reliability evaluation,and the settlement threshold was set based on driving safety.The simulation results show that it can accurately forecast permafrost thawing degradation,and the research findings can be used by the logistics support department to conduct daily subgrade maintenance.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.04.020Permafrost thawingSARIMA modelDegradation dataReliability assessment
spellingShingle WANG JinBo
TANG JiaYin
LIU XinLing
WU Yi
DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
Jixie qiangdu
Permafrost thawing
SARIMA model
Degradation data
Reliability assessment
title DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
title_full DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
title_fullStr DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
title_full_unstemmed DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
title_short DATA⁃DRIVEN RELIABILITY ANALYSIS MODEL OF QINGHAI⁃TIBET RAILWAY IN PERMAFROST ZONE
title_sort data⁃driven reliability analysis model of qinghai⁃tibet railway in permafrost zone
topic Permafrost thawing
SARIMA model
Degradation data
Reliability assessment
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.04.020
work_keys_str_mv AT wangjinbo datadrivenreliabilityanalysismodelofqinghaitibetrailwayinpermafrostzone
AT tangjiayin datadrivenreliabilityanalysismodelofqinghaitibetrailwayinpermafrostzone
AT liuxinling datadrivenreliabilityanalysismodelofqinghaitibetrailwayinpermafrostzone
AT wuyi datadrivenreliabilityanalysismodelofqinghaitibetrailwayinpermafrostzone