Computational Fluid Dynamics Expert System using Artificial Neural Networks

Rubio Calzado, Gonzalo and Valero Sánchez, Eusebio and Lanzan, Sven (2012). Computational Fluid Dynamics Expert System using Artificial Neural Networks. "International Journal of Engineering and Applied Sciences", v. 6 ; pp. 40-44. ISSN 2010-3999.

Description

Title: Computational Fluid Dynamics Expert System using Artificial Neural Networks
Author/s:
  • Rubio Calzado, Gonzalo
  • Valero Sánchez, Eusebio
  • Lanzan, Sven
Item Type: Article
Título de Revista/Publicación: International Journal of Engineering and Applied Sciences
Date: 2012
ISSN: 2010-3999
Volume: 6
Subjects:
Freetext Keywords: Artificial Neural Network, Computational Fluid Dynamics, Optimization
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Matemática Aplicada y Estadística [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (424kB) | Preview

Abstract

The design of a modern aircraft is based on three pillars: theoretical results, experimental test and computational simulations. As a results of this, Computational Fluid Dynamic (CFD) solvers are widely used in the aeronautical field. These solvers require the correct selection of many parameters in order to obtain successful results. Besides, the computational time spent in the simulation depends on the proper choice of these parameters. In this paper we create an expert system capable of making an accurate prediction of the number of iterations and time required for the convergence of a computational fluid dynamic (CFD) solver. Artificial neural network (ANN) has been used to design the expert system. It is shown that the developed expert system is capable of making an accurate prediction the number of iterations and time required for the convergence of a CFD solver.

More information

Item ID: 16286
DC Identifier: http://oa.upm.es/16286/
OAI Identifier: oai:oa.upm.es:16286
Deposited by: Memoria Investigacion
Deposited on: 11 Nov 2014 16:54
Last Modified: 11 Nov 2014 16:54
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM