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    Probabilistic Characterization of Live Load Using Visual Counts and In-Service Strain Monitoring

    Source: Journal of Bridge Engineering:;2007:;Volume ( 012 ):;issue: 001
    Author:
    Mark Guzda
    ,
    Baidurya Bhattacharya
    ,
    Dennis R. Mertz
    DOI: 10.1061/(ASCE)1084-0702(2007)12:1(130)
    Publisher: American Society of Civil Engineers
    Abstract: It has been argued that the AASHTO LRFD design code for maximum live loads on highway bridges is overly conservative. In an attempt to determine the level of conservativeness, if any, the writers developed a methodology incorporating real-time visual data collection from traffic cameras coupled with structural strain response of girder bridges. Average daily truck traffic along with frequency of multiple presences (same lane as well as adjacent lanes) and lane-wise truck traffic distribution were estimated for a steel-girder highway bridge on I-95 in Delaware. These data compared well with predictions from a Poisson process based model developed for this study. Statistical properties of girder moments in single and multiple presence conditions were determined as well. In this particular example, the girder design moment on the
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      Probabilistic Characterization of Live Load Using Visual Counts and In-Service Strain Monitoring

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    contributor authorMark Guzda
    contributor authorBaidurya Bhattacharya
    contributor authorDennis R. Mertz
    date accessioned2017-05-08T21:25:33Z
    date available2017-05-08T21:25:33Z
    date copyrightJanuary 2007
    date issued2007
    identifier other%28asce%291084-0702%282007%2912%3A1%28130%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50988
    description abstractIt has been argued that the AASHTO LRFD design code for maximum live loads on highway bridges is overly conservative. In an attempt to determine the level of conservativeness, if any, the writers developed a methodology incorporating real-time visual data collection from traffic cameras coupled with structural strain response of girder bridges. Average daily truck traffic along with frequency of multiple presences (same lane as well as adjacent lanes) and lane-wise truck traffic distribution were estimated for a steel-girder highway bridge on I-95 in Delaware. These data compared well with predictions from a Poisson process based model developed for this study. Statistical properties of girder moments in single and multiple presence conditions were determined as well. In this particular example, the girder design moment on the
    publisherAmerican Society of Civil Engineers
    titleProbabilistic Characterization of Live Load Using Visual Counts and In-Service Strain Monitoring
    typeJournal Paper
    journal volume12
    journal issue1
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)1084-0702(2007)12:1(130)
    treeJournal of Bridge Engineering:;2007:;Volume ( 012 ):;issue: 001
    contenttypeFulltext
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