Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques

Abstract This study investigates the use of machine learning (ML) models to predict the ultimate load capacity of demountable shear connectors in steel–concrete composite structures. A dataset of 239 experimental and numerical records was assembled, incorporating critical features such as bolt diame...

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Autores principales:	Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-08-01
Colección:	Scientific Reports
Materias:	Demountable shear stud connectors Ultimate shear capacity prediction Linear regression Ridge Lasso K-Nearest neighbors (KNN)
Acceso en línea:	https://doi.org/10.1038/s41598-025-15711-4
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