A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials

This paper is devoted to the construction of a new fast-to-evaluate model for prediction 2D crack paths in concrete-like microstructures. The generates piecewise linear cracks with segmentation points selected using Markov chain model. kernel involves local indicators mechanical interest and its parameters are learnt from numerical full-field simulations cracking cohesive-volumetric finite element solver called XPER. does not include any elements. It database, derived XPER crack, that contains information optimizes probabilistic resulting exhibits drastic improvement CPU time comparison