C. Quesada, D. González, I. Ruiz, E. Cueto, A. Huerta, F. Chinesta
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.
Keywords:
Published on 01/01/2016
DOI: 10.1007/s00371-015-1134-7Licence: CC BY-NC-SA license
Views 3Recommendations 0
Are you one of the authors of this document?