DOAJ Open Access 2023

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 +2 lainnya

Lihat Sumber DOI

Abstrak

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 optimizes the probabilistic model. The resulting model exhibits a drastic improvement of CPU time in comparison to simulations from XPER.

Topik & Kata Kunci

Mechanics of engineering. Applied mechanics

Penulis (7)

Kathleen Pele

Jean Baccou

Loïc Daridon

Jacques Liandrat

Thibaut Le Gouic

Yann Monerie

Frédéric Péralès

Format Sitasi

APA MLA BibTeX

Pele, K., Baccou, J., Daridon, L., Liandrat, J., Gouic, T.L., Monerie, Y. et al. (2023). A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials. https://doi.org/10.46298/jtcam.8322

Akses Cepat

Lihat di Sumber doi.org/10.46298/jtcam.8322

Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.46298/jtcam.8322
Akses: Open Access ✓