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

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 Date
Research Department
Civil Engineering Department
Research Journal
Innovative Infrastructure Solutions
Research Member
Mahmoud Mohamed Ahmed Owais
Shehata Eldabie Abdel Raheem
Walid Oboualova Mohammed Abdel Hafez
Mohamed Fathy Mohamed Fahmy
Research Pages
332
Research Publisher
Springer Nature
Research Rank
Q2
Research Vol
10
Research Website
https://link.springer.com/article/10.1007/s41062-025-02050-6
Research Year
2025