Predictive modelling of hybrid composite laminates buckling behaviour using Finite Element Analysis, refined Response Surface Methodology and Artificial Neural Network models with different data sizes

Accurate prediction of buckling loads in composite structures is essential, as their anisotropic and inhomogeneous properties complicate structural analysis. However, traditional predictive models often face limitations such as the inclusion of statistically insignificant polynomial terms in Respons...

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Bibliographic Details

Main Authors:	Mohd Najib, Muhammad Naufal, Ismail, Mohd Shahrom, Chi, Hieu Le, Ho, Quang Nguye, Samsudin, Azizul Hakim, Mahmud, Jamaluddin
Format:	Article
Language:	en
Published:	UiTM Press 2026
Subjects:	Electronic Computers. Computer Science Computer simulation
Online Access:	https://ir.uitm.edu.my/id/eprint/129754/1/129754.pdf https://ir.uitm.edu.my/id/eprint/129754/ https://jmeche.uitm.edu.my/
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