Data-driven GENERIC modeling of poroviscoelastic materials

Chady Ghnatios (1) , Icíar Alfaro (2) , David González (2) , Francisco Chinesta (3) , Elías G. Cueto (2)

1 NDU - Notre Dame University-Louaize [Lebanon]
2 I3A - Aragón Institute of Engineering Research [Zaragoza]
3 PIMM - Laboratoire Procédés et Ingénierie en Mécanique et Matériaux

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.

Mots clés: Biphasic materials - Data-driven - GENERIC - Hydrogel - Modeling - Sof t materials

Domaines: Matériaux

Chady Ghnatios, Icíar Alfaro, David González, Francisco Chinesta, Elías G. Cueto. Data-driven GENERIC modeling of poroviscoelastic materials. Entropy, 2019, 21 (12), pp.1-15. ⟨10.3390/e21121165⟩. ⟨hal-02547932⟩