A computational framework to establish data-driven constitutive models for time- or path-dependent heterogeneous solids

We propose and implement a computational procedure to establish data-driven surrogate constitutive models for heterogeneous materials. We study the multiaxial response of non-linear n-phase composites via Finite Element (FE) simulations and computational homogenisation. Pseudo-random, multiaxial, no...

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Detalles Bibliográficos
Autores principales: Ge, Weijian, Tagarielli, Vito L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342494/
https://www.ncbi.nlm.nih.gov/pubmed/34354106
http://dx.doi.org/10.1038/s41598-021-94957-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342494/
https://www.ncbi.nlm.nih.gov/pubmed/34354106
http://dx.doi.org/10.1038/s41598-021-94957-0

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