Evaluating the Shear Strength Capacity of Reinforced Concrete Deep Beam using Deep Learning Neural Network for Enhanced Structural Performance Analysis
The proposed f-PICNN-CPOA model provides an effective and robust approach for predicting the shear strength of RC deep beams, and makes it a valuable decision-support tool for structural engineers, contributing to safer design practices and improved performance of reinforced concrete structures in the construction industry.