Consistent data-driven computational mechanics

González, D. (Universidad de Zaragoza) ; Chinesta, F. ; Cueto, E. (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1063/1.5034931

Año: 2018

Publicado en: AIP Conference Proceedings 1960 (2018), 090005 [5 pp.]
ISSN: 0094-243X

Factor impacto SCIMAGO: 0.182 - Physics and Astronomy (miscellaneous)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T88
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2015-72365-EXP
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2017-85139-C2-1-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)