Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Chinesta, F. ; Cueto, E. (Universidad de Zaragoza) ; Abisset-Chavanne, E. ; Duval, J.L. ; Khaldi, F.E.

Resumen: Engineering 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.

Idioma: Inglés

DOI: 10.1007/s11831-018-9301-4

Año: 2018

Publicado en: ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING 27 (2018), 105–134
ISSN: 1134-3060

Factor impacto JCR: 7.242 (2018)

Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 5 / 106 = 0.047 (2018) - Q1 - T1
Categ. JCR: MATHEMATICS, INTERDISCIPLINARY APPLICATIONS rank: 1 / 105 = 0.01 (2018) - Q1 - T1
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 2 / 88 = 0.023 (2018) - Q1 - T1

Factor impacto SCIMAGO: 1.978 - Computer Science Applications (Q1) - Applied Mathematics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T24-17R
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: Artículo (PostPrint)

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