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    Estimation of Rutting Models by Combining Data from Different Sources

    Source: Journal of Transportation Engineering, Part A: Systems:;2001:;Volume ( 127 ):;issue: 005
    Author:
    Adrián Ricardo Archilla
    ,
    Samer Madanat
    DOI: 10.1061/(ASCE)0733-947X(2001)127:5(379)
    Publisher: American Society of Civil Engineers
    Abstract: The accurate prediction of rutting development is an essential element for the efficient management of pavement systems. The objective of this paper is to demonstrate the effectiveness of the estimation of rutting models by combining the information from two data sources, the AASHO and the WesTrack road tests. Combined estimation with both data sources is used to identify parameters that are not identifiable from one data source alone. In addition, this estimation approach also yields more efficient parameter estimates. The results presented in this paper demonstrate that joint estimation produces more realistic parameter estimates than those obtained by using either data set alone. Furthermore, joint estimation allows us to account for the effects of pavement structure, axle load configuration, asphalt concrete mix properties, freeze-thaw cycles, and hot temperatures in a single model. Finally, it allows us to predict the relative contributions of rutting originating both in the asphalt concrete and in the unbound layers in the same model.
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      Estimation of Rutting Models by Combining Data from Different Sources

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    http://yetl.yabesh.ir/yetl1/handle/yetl/72661
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    contributor authorAdrián Ricardo Archilla
    contributor authorSamer Madanat
    date accessioned2017-05-08T22:09:56Z
    date available2017-05-08T22:09:56Z
    date copyrightOctober 2001
    date issued2001
    identifier other36604040.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72661
    description abstractThe accurate prediction of rutting development is an essential element for the efficient management of pavement systems. The objective of this paper is to demonstrate the effectiveness of the estimation of rutting models by combining the information from two data sources, the AASHO and the WesTrack road tests. Combined estimation with both data sources is used to identify parameters that are not identifiable from one data source alone. In addition, this estimation approach also yields more efficient parameter estimates. The results presented in this paper demonstrate that joint estimation produces more realistic parameter estimates than those obtained by using either data set alone. Furthermore, joint estimation allows us to account for the effects of pavement structure, axle load configuration, asphalt concrete mix properties, freeze-thaw cycles, and hot temperatures in a single model. Finally, it allows us to predict the relative contributions of rutting originating both in the asphalt concrete and in the unbound layers in the same model.
    publisherAmerican Society of Civil Engineers
    titleEstimation of Rutting Models by Combining Data from Different Sources
    typeJournal Paper
    journal volume127
    journal issue5
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(2001)127:5(379)
    treeJournal of Transportation Engineering, Part A: Systems:;2001:;Volume ( 127 ):;issue: 005
    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