Modeling tensile strength of unconfined lap-spliced steel bars using deep residual neural networks and variance-based sensitivity analysis

Faculty of Engineering

Assiut University

Modeling tensile strength of unconfined lap-spliced steel bars using deep residual neural networks and variance-based sensitivity analysis

Research Authors
Ebrahim S. AL-Shami, Mahmoud Owais, Shehata E. Abdel Raheem, Waleed Abo El-Wafa Mohamed & Mohamed F. M. Fahmy
Research Member
Mahmoud Mohamed Ahmed Owais
Shehata Eldabie Abdel Raheem
Walid Oboualova Mohammed Abdel Hafez
Mohamed Fathy Mohamed Fahmy
Research Department
Civil Engineering Department
Research Date
Research Year
2025
Research Journal
Innovative Infrastructure Solutions
Research Publisher
Springer Nature
Research Vol
10
Research Rank
Q2
Research_Pages
332
Research Website
https://link.springer.com/article/10.1007/s41062-025-02050-6
Research Rank
International Journal