Real-time simulation techniques for augmented learning in science and engineering
Author (s): Quesada, C.; González, D.; Alfaro, I.; Cueto, E.; Huerta, A.; and Chinesta, F.
Journal: The Visual Computer
Volume: 32, Issue 11
Pages: 1465 – 1479
Date: 2016
Abstract:
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.
Bibtex:
@article{EC-QGACHC:16, Author = {Carlos Quesada and David Gonz\'alez and Ic\'{\i}ar Alfaro and El\'{\i}as Cueto and Antonio Huerta and Francisco Chinesta}, Title = {Real-time simulation techniques for augmented learning in science and engineering}, Fjournal = {Visual Computer}, Journal = {Visual Comput.}, Volume = {32}, Number = {11}, Pages = {1465-1479}, Year = {2016}, Doi = {10.1007/s00371-015-1134-7} }