Real-time simulation techniques for augmented learning in science and engineering
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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.
CitacióQuesada, C., González, D., Alfaro, I., Cueto, E., Huerta, A., Chinesta, F. Real-time simulation techniques for augmented learning in science and engineering. "The visual computer", Novembre 2016, vol. 32, núm. 11, p. 1465-1479.
Versió de l'editorhttp://link.springer.com/article/10.1007%2Fs00371-015-1134-7