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contributor authorTabish, F. N. U.
contributor authorMamaghani, Iraj H. P.
contributor authorUllah, Shafqat
contributor authorMwaura, Njiru
contributor authorKarim, Muhammad Hamza
date accessioned2026-08-20T12:08:35Z
date available2026-08-20T12:08:35Z
date copyright2025/06/20
date issued2025
identifier otherJSDCCC.SCENG-1685.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313142
description abstractAbstractThis 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 ...
publisherAmerican Society of Civil Engineers
titlePrediction of Failure Mode and Buckling Strength of Ring-Stiffened Cylindrical Shells Using Machine-Learning Techniques
typeJournal Article
journal volume30
journal issue4
journal titleJournal of Structural Design and Construction Practice
identifier doi10.1061/JSDCCC.SCENG-1685
journal fristpage04025068-1
journal lastpage04025068-13
page13
treeJournal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004
contenttypeFulltext


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