78895 20191127155457.0 doi 10.1063/1.5034931 sideral 106472 ART-2018-106472 eng (orcid)0000-0003-3003-5856 González, D. Universidad de Zaragoza Consistent data-driven computational mechanics 2018 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/T88 info:eu-repo/grantAgreement/ES/MINECO/DPI2015-72365-EXP info:eu-repo/grantAgreement/ES/MINECO/DPI2017-85139-C2-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.182 2018 Physics and Astronomy (miscellaneous) 2018 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Chinesta, F. (orcid)0000-0003-1017-4381 Cueto, E. Universidad de Zaragoza 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 1960 (2018), 090005 [5 pp.] AIP conf. proc. AIP Conference Proceedings 0094-243X 282765 http://zaguan.unizar.es/record/78895/files/texto_completo.pdf Versión publicada 52282 http://zaguan.unizar.es/record/78895/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78895 articulos driver 2019-11-27-15:48:27 ARTICLE