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Title:
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Real-time simulation techniques for augmented learning in science and engineering
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Author:
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Quesada, C.; González, D.; Alfaro, Icíar; Cueto Prendes, Elias; Huerta, Antonio; Chinesta, Francisco
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
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Abstract:
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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 (PGD) 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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
-Computer-assisted instruction
-Augmented learning
-Real-time simulation
-Model order reduction
-Proper generalized decomposition
-Ensenyament assistit per ordinador |
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Rights:
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Document type:
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Article - Submitted version
Article |
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Published by:
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Springer
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