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Open AccessArticle

Data-Driven GENERIC Modeling of Poroviscoelastic Materials

1
Mechanical Engineering Department, Notre Dame University-Louaizé, Zouk Mosbeh P.O. Box 72, Lebanon
2
Aragon Institute of Engineering Research, Universidad de Zaragoza, Edificio Betancourt, Maria de Luna, s.n., 50018 Zaragoza, Spain
3
ESI Chair @ ENSAM Arts et Metiers Institute of Technology, 151 Boulevard de l’Hôpital, F-75013 Paris, France
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(12), 1165; https://doi.org/10.3390/e21121165
Received: 22 October 2019 / Revised: 26 November 2019 / Accepted: 26 November 2019 / Published: 28 November 2019
(This article belongs to the Special Issue Entropies: Between Information Geometry and Kinetics)

Biphasic soft materials are challenging to model by nature. Ongoing efforts are targeting their effective modeling and simulation. This work uses experimental atomic force nanoindentation of thick hydrogels to identify the indentation forces are a function of the indentation depth. Later on, the atomic force microscopy results are used in a GENERIC general equation for non-equilibrium reversible–irreversible coupling (GENERIC) formalism to identify the best model conserving basic thermodynamic laws. The data-driven GENERIC analysis identifies the material behavior with high fidelity for both data fitting and prediction. View Full-Text
Keywords: soft materials; biphasic materials; hydrogel; data-driven; GENERIC; modeling soft materials; biphasic materials; hydrogel; data-driven; GENERIC; modeling
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MDPI and ACS Style

Ghnatios, C.; Alfaro, I.; González, D.; Chinesta, F.; Cueto, E. Data-Driven GENERIC Modeling of Poroviscoelastic Materials. Entropy 2019, 21, 1165.

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