A Stochastic FE(2) Data-Driven Method for Nonlinear Multiscale Modeling

A stochastic data-driven multilevel finite-element (FE [Formula: see text]) method is introduced for random nonlinear multiscale calculations. A hybrid neural-network–interpolation (NN–I) scheme is proposed to construct a surrogate model of the macroscopic nonlinear constitutive law from representat...

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Detalles Bibliográficos
Autores principales: Lu, Xiaoxin, Yvonnet, Julien, Papadopoulos, Leonidas, Kalogeris, Ioannis, Papadopoulos, Vissarion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198178/
https://www.ncbi.nlm.nih.gov/pubmed/34072054
http://dx.doi.org/10.3390/ma14112875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198178/
https://www.ncbi.nlm.nih.gov/pubmed/34072054
http://dx.doi.org/10.3390/ma14112875

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