Prediction of Failure Mode and Buckling Strength of Ring-Stiffened Cylindrical Shells Using Machine-Learning Techniques
View/ Open
Date
2025Author
Tabish, F. N. U.
Mamaghani, Iraj H. P.
Ullah, Shafqat
Mwaura, Njiru
Karim, Muhammad Hamza
Metadata
Show full item recordAbstract
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 ...