Litcius/Paper detail

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

Ebrahim S. AL-Shami, Mahmoud Owais, Shehata E. Abdel Raheem, Waleed Abo El-Wafa Mohamed, M. F. Fahmy

2025Innovative Infrastructure Solutions7 citationsDOI

Topics & Concepts

Artificial neural networkResidualSensitivity (control systems)Ultimate tensile strengthStructural engineeringResidual strengthVariance (accounting)Materials scienceEngineeringComposite materialArtificial intelligenceComputer scienceAlgorithmBusinessElectronic engineeringAccountingStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringStructural Behavior of Reinforced Concrete
Modeling tensile strength of unconfined lap-spliced steel bars using deep residual neural networks and variance-based sensitivity analysis | Litcius