Possibility of Predicting the Fracture of Metallic Materials with a Heterogeneous Structure

The approaches to predicting the fracture of metallic materials with a heterogeneous structure are analyzed. Joint measurements of the geometry of structural elements, their relative location (configuration), and fracture morphology at macro-, meso-, and microscale levels are shown to be necessary to estimate the risk of fracture along with the detection of acoustic emission with allowance for the statistical nature of the objects to be analyzed. Representative results can be obtained using digital technologies and Big Data algorithms.