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    Pre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002::page 04026007-1
    Author:
    Chen, Yit-Jin
    ,
    Wang, Kai
    ,
    Phoon, Kok-Kwang
    ,
    Guo, Matthew
    ,
    Jos, Mary Abigail
    DOI: 10.1061/AJRUA6.RUENG-1737
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study evaluated the performance of artificial neural network (ANN) in determining pre-bored precast concrete (PC) pile capacities, utilizing a database of 39 drained pile load tests under axial compression. The ANN model developed in this ...Practical ApplicationsPre-bored precast concrete (PC) piles are increasingly used in design and construction, especially in urban areas where minimizing noise and vibration during construction is important. A major challenge for engineers is determining ...
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      Pre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorChen, Yit-Jin
    contributor authorWang, Kai
    contributor authorPhoon, Kok-Kwang
    contributor authorGuo, Matthew
    contributor authorJos, Mary Abigail
    date accessioned2026-08-20T21:23:30Z
    date available2026-08-20T21:23:30Z
    date copyright2026/02/11
    date issued2026
    identifier otherAJRUA6.RUENG-1737.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314375
    description abstractAbstractThis study evaluated the performance of artificial neural network (ANN) in determining pre-bored precast concrete (PC) pile capacities, utilizing a database of 39 drained pile load tests under axial compression. The ANN model developed in this ...Practical ApplicationsPre-bored precast concrete (PC) piles are increasingly used in design and construction, especially in urban areas where minimizing noise and vibration during construction is important. A major challenge for engineers is determining ...
    publisherAmerican Society of Civil Engineers
    titlePre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network
    typeJournal Article
    journal volume12
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1737
    journal fristpage04026007-1
    journal lastpage04026007-26
    page26
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
    contenttypeFulltext
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