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Conference Papers Year : 2018

Consistent data-driven computational mechanics


We present a novel method, within the realm of data-driven computational mechanics, to obtain reliable and thermodynamically sound simulation from experimental data. We thus avoid the need to fit any phenomenological model in the construction of the simulation model. This kind of techniques opens unprecedented possibilities in the framework of data-driven application systems and, particularly, in the paradigm of industry 4.0.
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hal-01829991 , version 1 (05-07-2018)



David Gonzáles, Francisco Chinesta, Elías Cueto. Consistent data-driven computational mechanics. 21st international ESAFORM conference on material forming (ESAFORM 2018), Apr 2018, Palerme, Italy. ⟨10.1063/1.5034931⟩. ⟨hal-01829991⟩
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