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

2021/12/27 by Kathleen Pele, Pele, Kathleen, Jean Baccou +11
Engineering · #Concrete Corrosion and Durability #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Ultrasonics and Acoustic Wave Propagation

paper · doi:10.48550/arxiv.2112.13578

openalex publication_date 2021/12/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper is devoted to the construction of a new fast-to-evaluate model for the prediction of 2D crack paths in concrete-like microstructures. The model generates piecewise linear cracks paths with segmentation points selected using a Markov chain model. The Markov chain kernel involves local indicators of mechanical interest and its parameters are learnt from numerical full-field 2D simulations of craking using a cohesive-volumetric finite element solver called XPER. The resulting model exhibits a drastic improvement of CPU time in comparison to simulations from XPER.

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