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

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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https://hal.archives-ouvertes.fr/hal-03295926
Contributor : Kathleen Pele Connect in order to contact the contributor
Submitted on : Sunday, December 26, 2021 - 3:25:37 PM
Last modification on : Friday, January 7, 2022 - 3:57:11 AM

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Preprint_pele_22_12_2021.pdf
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  • HAL Id : hal-03295926, version 2
  • ARXIV : 2112.13578

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Kathleen Pele, Jean Baccou, Loïc Daridon, Jacques Liandrat, Thibaut Le Gouic, et al.. A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials. 2021. ⟨hal-03295926v2⟩

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