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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Huvudupphovsmän: David González, Alberto García-González, Francisco Chinesta, Elías Cueto
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-05-01
Serie:Materials
Ämnen:
machine learning
manifold learning
topological data analysis
GENERIC
soft living tissues
hyperelasticity
Länkar:https://www.mdpi.com/1996-1944/13/10/2319
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