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arXiv · 2112.13578

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

Kathleen Pele·Jean Baccou·Loïc Daridon·Jacques Liandrat·Thibaut Le Gouic·Yann Monerie·Frédéric Péralès
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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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Kathleen Pele, Jean Baccou, Loïc Daridon, Jacques Liandrat, Thibaut Le Gouic, Yann Monerie, Frédéric Péralès. 2021-12-27. A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials. https://arxiv.org/abs/2112.13578

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