A Novel Data-Driven Machine Learning Strategy for Structural Design of Reinforced Concrete Slabs in Real-World High-Rise Buildings
This paper proposes a data-driven strategy leveraging the XGBoost (Extreme Gradient Boosting) algorithm to accurately predict the required reinforcement and the deflection of reinforced concrete (RC) slabs in real-world high-rise buildings. To achieve the objective, two distinct predictive models with tailored input pa...