Flexural Capacity Database for reinforced UHPC Beams

A high-quality dataset forms the foundation for machine learning-based predictions of structural load capacity. Therefore, this study collected 222 sets of rectangular section reinforced UHPC beams flexural capacity test data,The key factors that affect the UHPC beam’s flexural capacity include geometric parameters, material properties, and reinforcement details. Eight fundamental structural features that significantly impact the flexural capacity of UHPC beams were selected as input parameters for machine learning: beam section width (b), beam section height (h), compressive strength of UHPC cubes (fcu), tensile strength of UHPC (ft), volume fraction of steel fibers (Vf), aspect ratio of steel fibers (Lf / Df), longitudinal reinforcement ratio (ρs), and yield strength of longitudinal reinforcement (fy). The output is the flexural capacity (Mu).