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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |