The Visual Computer

, Volume 32, Issue 11, pp 1465–1479

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

  • C. Quesada
  • D. González
  • I. Alfaro
  • E. Cueto
  • A. Huerta
  • F. Chinesta
Original Article

DOI: 10.1007/s00371-015-1134-7

Cite this article as:
Quesada, C., González, D., Alfaro, I. et al. Vis Comput (2016) 32: 1465. doi:10.1007/s00371-015-1134-7

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 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.

Keywords

Augmented learning Real-time simulation Model order reduction Proper generalized decomposition 

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Aragón Institute of Engineering Research (I3A)Universidad de ZaragozaZaragozaSpain
  2. 2.Laboratori de Calcul Numeric (LaCaN), Dep. Matematica Aplicada IIIUniversitat Politecnica de CatalunyaBarcelonaSpain
  3. 3.Zienkiewicz Centre for Computational Engineering, College of EngineeringSwansea UniversitySwanseaUK
  4. 4.GEM, UMR CNRS-Centrale Nantes, Institut Universitaire de FranceNantes Cedex 3France

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