ML Dataset: Concrete Three-Point Bending Fracture

The dataset is used for training and validating ML models for predicting the fracture strength of concrete beam subjected to three-point bending. It consists of 330 instances generated by Abaqus FEA using extended finite element method and cohesive zone modeling. Each instance consist of seven input parameters and one output parameter. The input parameters include the depth, width, span, and notch length of the beam, as well as the fracture toughness, elastic modulus, and tensile strength of the concrete. The output parameter represents the fracture strength of the concrete beam.</p