000086197 001__ 86197
000086197 005__ 20200609132537.0
000086197 0247_ $$2doi$$a10.1007/s11831-018-9301-4
000086197 0248_ $$2sideral$$a109564
000086197 037__ $$aART-2018-109564
000086197 041__ $$aeng
000086197 100__ $$aChinesta, F.
000086197 245__ $$aVirtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data
000086197 260__ $$c2018
000086197 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086197 5203_ $$aEngineering is evolving in the same way than society is doing. Nowadays, data is acquiring a prominence never imagined. In the past, in the domain of materials, processes and structures, testing machines allowed extract data that served in turn to calibrate state-of-the-art models. Some calibration procedures were even integrated within these testing machines. Thus, once the model had been calibrated, computer simulation takes place. However, data can offer much more than a simple state-of-the-art model calibration, and not only from its simple statistical analysis, but from the modeling and simulation viewpoints. This gives rise to the the family of so-called twins: the virtual, the digital and the hybrid twins. Moreover, as discussed in the present paper, not only data serve to enrich physically-based models. These could allow us to perform a tremendous leap forward, by replacing big-data-based habits by the incipient smart-data paradigm.
000086197 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T24-17R$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2015-72365-EXP$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2017-85139-C2-1-R
000086197 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000086197 590__ $$a7.242$$b2018
000086197 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b5 / 106 = 0.047$$c2018$$dQ1$$eT1
000086197 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b1 / 105 = 0.01$$c2018$$dQ1$$eT1
000086197 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b2 / 88 = 0.023$$c2018$$dQ1$$eT1
000086197 592__ $$a1.978$$b2018
000086197 593__ $$aComputer Science Applications$$c2018$$dQ1
000086197 593__ $$aApplied Mathematics$$c2018$$dQ1
000086197 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086197 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, E.$$uUniversidad de Zaragoza
000086197 700__ $$aAbisset-Chavanne, E.
000086197 700__ $$aDuval, J.L.
000086197 700__ $$aKhaldi, F.E.
000086197 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000086197 773__ $$g27 (2018), 105–134$$pArch. comput. methods eng.$$tARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING$$x1134-3060
000086197 8564_ $$s625314$$uhttps://zaguan.unizar.es/record/86197/files/texto_completo.pdf$$yPostprint
000086197 8564_ $$s51636$$uhttps://zaguan.unizar.es/record/86197/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000086197 909CO $$ooai:zaguan.unizar.es:86197$$particulos$$pdriver
000086197 951__ $$a2020-06-09-13:23:43
000086197 980__ $$aARTICLE