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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Bibliografische gegevens

Hoofdauteurs:	Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Nature Portfolio 2025-08-01
Reeks:	Scientific Reports
Onderwerpen:	Demountable shear stud connectors Ultimate shear capacity prediction Linear regression Ridge Lasso K-Nearest neighbors (KNN)
Online toegang:	https://doi.org/10.1038/s41598-025-15711-4
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