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This document presents a closed-form solution for predicting the deflection of simply supported steel-concrete composite bridges, incorporating the flexibility of shear connectors and shear lag effects using a neural network model. The model is validated against finite element analysis results generated with ABAQUS software, demonstrating its accuracy and efficiency for everyday design applications. The study emphasizes the significance of input parameters and sensitivity analysis in enhancing the predictiv

Author

est.paula.vasquez

Language

EN