Real-time simulation techniques for augmented learning in science and engineering

Quesada, C. (Universidad de Zaragoza) ; González, D. (Universidad de Zaragoza) ; Alfaro, I. (Universidad de Zaragoza) ; Cueto, E. (Universidad de Zaragoza) ; Huerta, A. ; Chinesta, F.
Real-time simulation techniques for augmented learning in science and engineering
Resumen: In this paper, we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied science and engineering. It is based on the extensive use of model order reduction, and particularly, of the so-called proper generalized decomposition method. This method provides a sort of meta-modeling tool without the need for prior computer experiments that allows the user to obtain real-time response in the solution of complex engineering or physical problems. This real-time capability also allows for its implementation in deployed, touch screen, handheld devices or even to be immersed into electronic textbooks. We explore here the basics of the proposed methodology and give examples on a few challenging applications never until now explored, up to our knowledge.
Idioma: Inglés
DOI: 10.1007/s00371-015-1134-7
Año: 2016
Publicado en: VISUAL COMPUTER 32, 11 (2016), 1465-1479
ISSN: 0178-2789

Factor impacto JCR: 1.468 (2016)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 53 / 106 = 0.5 (2016) - Q2 - T2
Factor impacto SCIMAGO: 0.468 - Computer Graphics and Computer-Aided Design (Q2) - Software (Q2) - Computer Vision and Pattern Recognition (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2011-27778-C02-01-02
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2014-51844-C2-1-2-R
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)

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 Record created 2016-05-17, last modified 2020-02-21


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