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    Joint Load-Transfer Prediction Model Considering Dowel-Bar Position Deviation in Rigid Pavements

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 003
    Author:
    Zhang Yan-cong
    ,
    Gao Ling-ling
    DOI: 10.1061/JHTRCQ.0000452
    Publisher: American Society of Civil Engineers
    Abstract: A double-layer structure model of pavements that considered interlayer contact status was established to manage the dowel-bar position deviation problem in rigid pavements. The deviation effect of three-dimensional positions, such as horizontal angle, vertical angle, and embedded depth, on joint load-transfer capacity was analyzed. A load-transfer capacity prediction model that considered dowel-bar position deviation was established via ternary nonlinear regression. The load correction factor and its range were also proposed. This prediction model can effectively reflect the joint load-transfer capacity during dowel position deviation after verification via falling weight deflectometer testing. The horizontal angle of the dowel bar minimally affected joint load-transfer coefficient. By contrast, the joint load-transfer coefficient decreased almost linearly as the vertical angle increased. The coefficient reduced by approximately 12% when the vertical angle was 15°. Meanwhile, the load-transfer coefficient was maximized when a dowel bar was embedded in the middle of a surface. The coefficient would decline either upward or downward. The coefficient particularly decreased by 10% when the position was 2 cm downward.
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      Joint Load-Transfer Prediction Model Considering Dowel-Bar Position Deviation in Rigid Pavements

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/82682
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    • Journal of Highway and Transportation Research and Development (English Edition)

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    contributor authorZhang Yan-cong
    contributor authorGao Ling-ling
    date accessioned2017-05-08T22:33:47Z
    date available2017-05-08T22:33:47Z
    date copyrightSeptember 2015
    date issued2015
    identifier other49745072.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82682
    description abstractA double-layer structure model of pavements that considered interlayer contact status was established to manage the dowel-bar position deviation problem in rigid pavements. The deviation effect of three-dimensional positions, such as horizontal angle, vertical angle, and embedded depth, on joint load-transfer capacity was analyzed. A load-transfer capacity prediction model that considered dowel-bar position deviation was established via ternary nonlinear regression. The load correction factor and its range were also proposed. This prediction model can effectively reflect the joint load-transfer capacity during dowel position deviation after verification via falling weight deflectometer testing. The horizontal angle of the dowel bar minimally affected joint load-transfer coefficient. By contrast, the joint load-transfer coefficient decreased almost linearly as the vertical angle increased. The coefficient reduced by approximately 12% when the vertical angle was 15°. Meanwhile, the load-transfer coefficient was maximized when a dowel bar was embedded in the middle of a surface. The coefficient would decline either upward or downward. The coefficient particularly decreased by 10% when the position was 2 cm downward.
    publisherAmerican Society of Civil Engineers
    titleJoint Load-Transfer Prediction Model Considering Dowel-Bar Position Deviation in Rigid Pavements
    typeJournal Paper
    journal volume9
    journal issue3
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000452
    treeJournal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 003
    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