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    Physics-Assisted Data-Driven Methods for Predicting the Performance of Deep Excavation in Soft Clays

    Source: International Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 007::page 04026127-1
    Author:
    Abdi, Ari Surya
    ,
    Ou, Chang-Yu
    ,
    Ching, Jianye
    DOI: 10.1061/IJGNAI.GMENG-13377
    Publisher: American Society of Civil Engineers
    Abstract: Abstract This paper investigates the use of physics-assisted data-driven methods for predicting the performance (such as wall deformation and factor of safety against basal heave) of deep excavation in soft clay. Physics-assisted prediction methods with ...
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      Physics-Assisted Data-Driven Methods for Predicting the Performance of Deep Excavation in Soft Clays

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314071
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    contributor authorAbdi, Ari Surya
    contributor authorOu, Chang-Yu
    contributor authorChing, Jianye
    date accessioned2026-08-20T21:10:42Z
    date available2026-08-20T21:10:42Z
    date copyright2026/05/07
    date issued2026
    identifier otherIJGNAI.GMENG-13377.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314071
    description abstractAbstract This paper investigates the use of physics-assisted data-driven methods for predicting the performance (such as wall deformation and factor of safety against basal heave) of deep excavation in soft clay. Physics-assisted prediction methods with ...
    publisherAmerican Society of Civil Engineers
    titlePhysics-Assisted Data-Driven Methods for Predicting the Performance of Deep Excavation in Soft Clays
    typeJournal Article
    journal volume26
    journal issue7
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-13377
    journal fristpage04026127-1
    journal lastpage04026127-17
    page17
    treeInternational Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 007
    contenttypeFulltext
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