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    Probabilistic Framework for Future Load Carrying Capacity Estimation of Corroded Metallic Railway Bridges under Heavy Axle Weight Trains

    Source: Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 011::page 04025067-1
    Author:
    Zhang, Ziliang
    ,
    Watson, Geoff
    ,
    Milne, David
    ,
    Powrie, William
    ,
    Kashani, Mohammad M.
    DOI: 10.1061/JBENF2.BEENG-7409
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Assessing the future load carrying capacity (characterized on UK railways by means of a route availability number) of historic railway infrastructure under heavy axle weight (HAW) train loads is important for operational and safety reasons. ...
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      Probabilistic Framework for Future Load Carrying Capacity Estimation of Corroded Metallic Railway Bridges under Heavy Axle Weight Trains

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314284
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    contributor authorZhang, Ziliang
    contributor authorWatson, Geoff
    contributor authorMilne, David
    contributor authorPowrie, William
    contributor authorKashani, Mohammad M.
    date accessioned2026-08-20T21:19:15Z
    date available2026-08-20T21:19:15Z
    date copyright2025/08/19
    date issued2025
    identifier otherJBENF2.BEENG-7409.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314284
    description abstractAbstract Assessing the future load carrying capacity (characterized on UK railways by means of a route availability number) of historic railway infrastructure under heavy axle weight (HAW) train loads is important for operational and safety reasons. ...
    publisherAmerican Society of Civil Engineers
    titleProbabilistic Framework for Future Load Carrying Capacity Estimation of Corroded Metallic Railway Bridges under Heavy Axle Weight Trains
    typeJournal Article
    journal volume30
    journal issue11
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-7409
    journal fristpage04025067-1
    journal lastpage04025067-21
    page21
    treeJournal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 011
    contenttypeFulltext
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