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Application of machine learning models in the capacity prediction of RCFST columns

Abstract Rectangular concrete-filled steel tubular (RCFST) columns are widely used in structural engineering due to their excellent load-carrying capacity and ductility. However, existing design equations often yield different design results for the same column properties, leading to uncertainty for...

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Detaylı Bibliyografya
Asıl Yazarlar: Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2023-11-01
Seri Bilgileri:Scientific Reports
Online Erişim:https://doi.org/10.1038/s41598-023-48044-1
Etiketler: Etiketle
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