Synthetic dataset for prestressed reinforced concrete beam flexural capacity generated using Monte Carlo simulations

This dataset contains synthetic data generated using Monte Carlo simulations to support the study entitled 
“Enhanced Prediction of Prestressed Reinforced Concrete Beam Flexural Capacity Using an Improved PSO-ANN Model”.

The dataset was generated by randomly sampling input parameters within realistic engineering ranges based on design codes and literature. 
It includes geometric properties, material properties, prestressing parameters, and corresponding flexural capacity values.

The dataset is used to train and validate artificial neural network (ANN) models optimized using particle swarm optimization (PSO). 
All data are provided in CSV format for reproducibility and further research.