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    Axle Load Spectra Characterization by Mixed Distribution Modeling

    Source: Journal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 002
    Author:
    David H. Timm
    ,
    S. Michelle Tisdale
    ,
    Rod E. Turochy
    DOI: 10.1061/(ASCE)0733-947X(2005)131:2(83)
    Publisher: American Society of Civil Engineers
    Abstract: Traffic comprises a primary input to any pavement design methodology. As pavement design evolves from traditional empirically based methods toward mechanistic-empirical (M-E), there will be a greater emphasis placed on accurate characterization of the distributions of axle loads, because they are entered directly into pavement response models. Known as load spectra, these distributions of axle weight are often complex and not well represented by individual theoretical statistical distributions. This research proposes a mixed distribution model of two or more theoretical distributions to accurately characterize axle load spectra. This paper details the model development and demonstrates its predictive capability using weigh-in-motion data from 13 sites in Alabama. The data show the predictive capability of the mixed distribution model through high
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      Axle Load Spectra Characterization by Mixed Distribution Modeling

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/37722
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorDavid H. Timm
    contributor authorS. Michelle Tisdale
    contributor authorRod E. Turochy
    date accessioned2017-05-08T21:04:35Z
    date available2017-05-08T21:04:35Z
    date copyrightFebruary 2005
    date issued2005
    identifier other%28asce%290733-947x%282005%29131%3A2%2883%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/37722
    description abstractTraffic comprises a primary input to any pavement design methodology. As pavement design evolves from traditional empirically based methods toward mechanistic-empirical (M-E), there will be a greater emphasis placed on accurate characterization of the distributions of axle loads, because they are entered directly into pavement response models. Known as load spectra, these distributions of axle weight are often complex and not well represented by individual theoretical statistical distributions. This research proposes a mixed distribution model of two or more theoretical distributions to accurately characterize axle load spectra. This paper details the model development and demonstrates its predictive capability using weigh-in-motion data from 13 sites in Alabama. The data show the predictive capability of the mixed distribution model through high
    publisherAmerican Society of Civil Engineers
    titleAxle Load Spectra Characterization by Mixed Distribution Modeling
    typeJournal Paper
    journal volume131
    journal issue2
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(2005)131:2(83)
    treeJournal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian