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    Semianalytical Solution for the Uplift Bearing Capacity of Spread Foundations in Sand

    Source: International Journal of Geomechanics:;2023:;Volume ( 023 ):;issue: 011::page 04023193-1
    Author:
    Kyo-Young Gu
    ,
    Nghiem Xuan Tran
    ,
    Jayne M. Han
    ,
    Kyeong-Sun Kim
    ,
    Kyung-Won Ham
    ,
    Sung-Ryul Kim
    DOI: 10.1061/IJGNAI.GMENG-8167
    Publisher: ASCE
    Abstract: An innovative semianalytical solution was introduced to accurately assess the uplift bearing capacity of spread foundations in sand, which is important for the design of transmission towers. The research addresses the shortcomings of previous analyses, which relied on a 1g laboratory test and consequently overestimated uplift bearing capacities due to scale effects. To overcome these limitations, a series of centrifuge tests were conducted under stress conditions representative of field conditions. The test results led to the identification of a bilinear failure surface, effectively capturing distinct uplift failure mechanisms along the embedment depth, including a passive mode near the ground surface and an active mode downward. A novel application of genetic programming analysis, based on symbolic regression techniques, was employed to optimize the determination of parameters forming the bilinear failure surface. The net uplift bearing capacity corresponding to the bilinear failure surface was evaluated using a limit equilibrium approach combined with a slice procedure. The proposed semianalytical solution was validated with both the current test results and previously published data, illustrating its reasonable applicability and representing a significant innovation in determining the net capacity of spread foundations in sand.
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      Semianalytical Solution for the Uplift Bearing Capacity of Spread Foundations in Sand

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4293657
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    • International Journal of Geomechanics

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    contributor authorKyo-Young Gu
    contributor authorNghiem Xuan Tran
    contributor authorJayne M. Han
    contributor authorKyeong-Sun Kim
    contributor authorKyung-Won Ham
    contributor authorSung-Ryul Kim
    date accessioned2023-11-27T23:33:13Z
    date available2023-11-27T23:33:13Z
    date issued11/1/2023 12:00:00 AM
    date issued2023-11-01
    identifier otherIJGNAI.GMENG-8167.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293657
    description abstractAn innovative semianalytical solution was introduced to accurately assess the uplift bearing capacity of spread foundations in sand, which is important for the design of transmission towers. The research addresses the shortcomings of previous analyses, which relied on a 1g laboratory test and consequently overestimated uplift bearing capacities due to scale effects. To overcome these limitations, a series of centrifuge tests were conducted under stress conditions representative of field conditions. The test results led to the identification of a bilinear failure surface, effectively capturing distinct uplift failure mechanisms along the embedment depth, including a passive mode near the ground surface and an active mode downward. A novel application of genetic programming analysis, based on symbolic regression techniques, was employed to optimize the determination of parameters forming the bilinear failure surface. The net uplift bearing capacity corresponding to the bilinear failure surface was evaluated using a limit equilibrium approach combined with a slice procedure. The proposed semianalytical solution was validated with both the current test results and previously published data, illustrating its reasonable applicability and representing a significant innovation in determining the net capacity of spread foundations in sand.
    publisherASCE
    titleSemianalytical Solution for the Uplift Bearing Capacity of Spread Foundations in Sand
    typeJournal Article
    journal volume23
    journal issue11
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-8167
    journal fristpage04023193-1
    journal lastpage04023193-10
    page10
    treeInternational Journal of Geomechanics:;2023:;Volume ( 023 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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