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

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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Bibliographic Details
Main Authors: Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Demountable shear stud connectors
Ultimate shear capacity prediction
Linear regression
Ridge
Lasso
K-Nearest neighbors (KNN)
Online Access:https://doi.org/10.1038/s41598-025-15711-4
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https://doi.org/10.1038/s41598-025-15711-4

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