A Data-Driven Learning Method for Constitutive Modeling: Application to Vascular Hyperelastic Soft Tissues

We address the problem of machine learning of constitutive laws when large experimental deviations are present. This is particularly important in soft living tissue modeling, for instance, where large patient-dependent data is found. We focus on two aspects that complicate the problem, namely, the p...

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Detalles Bibliográficos
Autores principales: González, David, García-González, Alberto, Chinesta, Francisco, Cueto, Elías
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7288154/
https://www.ncbi.nlm.nih.gov/pubmed/32443551
http://dx.doi.org/10.3390/ma13102319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7288154/
https://www.ncbi.nlm.nih.gov/pubmed/32443551
http://dx.doi.org/10.3390/ma13102319

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