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Data-driven GENERIC modeling of poroviscoelastic materials

Type
Articles dans des revues avec comité de lecture
Author
GHNATIOS, Chady
533922 Notre Dame University-Louaize [Lebanon] [NDU]
ALFARO, Icíar
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
GONZÁLEZ, David
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
CHINESTA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
CUETO, Elías G.
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]

URI
http://hdl.handle.net/10985/18480
DOI
10.3390/e21121165
Date
2019
Journal
Entropy

Abstract

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.

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