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

التفاصيل البيبلوغرافية
العنوان: A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials
المؤلفون: Pele, Kathleen, Baccou, Jean, Daridon, Loïc, Liandrat, Jacques, Gouic, Thibaut Le, Monerie, Yann, Péralès, Frédéric
سنة النشر: 2021
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Machine Learning
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2112.13578
رقم الأكسشن: edsarx.2112.13578
قاعدة البيانات: arXiv