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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Bibliographic Details
Main Authors: David González, Alberto García-González, Francisco Chinesta, Elías Cueto
Format: Artigo
Language:Inglês
Published: MDPI AG 2020-05-01
Series:Materials
Subjects:
machine learning
manifold learning
topological data analysis
GENERIC
soft living tissues
hyperelasticity
Online Access:https://www.mdpi.com/1996-1944/13/10/2319
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