An unsupervised machine learning approach to reduce nonlinear FE2 multiscale calculations using macro clustering

S Chaouch, J Yvonnet - Finite Elements in Analysis and Design, 2024 - Elsevier
Solving nonlinear multiscale methods with history-dependent behaviors and fine
macroscopic meshes is a well-known challenge. In this work, an unsupervised machine …
被引用次数：13 相关文章

An unsupervised machine learning approach to reduce nonlinear FE2 multiscale calculations using macro clustering

S Chaouch, J Yvonnet - Finite Elements in Analysis and Design, 2024 - hal.science
Solving nonlinear multiscale methods with history-dependent behaviors and fine
macroscopic meshes is a well-know challenge. In this work, an unsupervised machine …

An unsupervised machine learning approach to reduce nonlinear FE2 multiscale calculations using macro clustering

S Chaouch, J Yvonnet - Finite Elements in Analysis and …, 2024 - univ-eiffel.hal.science
Solving nonlinear multiscale methods with history-dependent behaviors and fine
macroscopic meshes is a well-know challenge. In this work, an unsupervised machine …

An unsupervised machine learning approach to reduce nonlinear FE2 multiscale calculations using macro clustering

S Chaouch, J Yvonnet - Finite Elements in Analysis and Design, 2024 - hal.univ-smb.fr
Solving nonlinear multiscale methods with history-dependent behaviors and fine
macroscopic meshes is a well-know challenge. In this work, an unsupervised machine …

An unsupervised machine learning approach to reduce nonlinear FE2 multiscale calculations using macro clustering

S Chaouch, J Yvonnet - 2024 - dl.acm.org
Solving nonlinear multiscale methods with history-dependent behaviors and fine
macroscopic meshes is a well-known challenge. In this work, an unsupervised machine …