Abstract2018-05-24T12:52:58+00:00

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}
        }