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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 cracking using a cohesive-volumetric finite element solver called XPER. This model does not include any mechanical elements. It is the database, derived from the XPER crack, that contains the mechanical information and optimises the probabilistic model. 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 : Wednesday, January 5, 2022 - 12:15:12 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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Identifiers

  • HAL Id : hal-03295926, version 3
  • ARXIV : 2112.13578

Citation

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. 2022. ⟨hal-03295926v3⟩

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