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    Prediction of Failure Mode and Buckling Strength of Ring-Stiffened Cylindrical Shells Using Machine-Learning Techniques

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    JSDCCC.SCENG-1685.pdf (3.244Mb)
    Date
    2025
    Author
    Tabish, F. N. U.
    Mamaghani, Iraj H. P.
    Ullah, Shafqat
    Mwaura, Njiru
    Karim, Muhammad Hamza
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    Abstract
    AbstractThis study utilizes the concept of machine learning (ML) to predict the failure mode and associated buckling strength of ring-stiffened cylindrical storage tanks under uniform external pressure. A database comprising 180 ring-stiffened cylindrical ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313142
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