Fluid Mechanics and Multidisciplinary Design.

Editor-Noel G. Barton; Editor-Jaques Periaux

ISBN 10: 3540402225 / ISBN 13: 9783540402220

Edité par Springer, Berlin - Heidelberg - New York, 2003

A propos de cet article

318 pages, hardcover, 8°, very good.

N° de réf. du vendeur 19935

Détails bibliographiques

• Titre: Fluid Mechanics and Multidisciplinary Design.
• Éditeur: Springer, Berlin - Heidelberg - New York
• Date de parution: 2003
• Langue: anglais
• ISBN à 10 chiffres: 3540402225
• ISBN à 13 chiffres: 9783540402220
• Reliure: Hardcover
• État de l'article: very good
• Type de livre: Buch
• Catalogues du vendeur:
  • Naturwissenschaften /Technik

A propos de ce titre

Synopsis

This Volume contains the Proceedings of a French - Australian workshop held in Melbourne, Australia from 3-6 December 2001. Entitled "Coupling of Fluids, Structures and Waves in Aeronautics (CFSWA)", the workshop was principally organised by CSIRO Mathematical and Information Sciences, Dassault Aviation and CNRS. The main purpose was to explore new computational methods and tools for efficient multi-disciplinary design in aero- nautics. This enterprise strongly depends on modelling of coupled disciplines and development of associated multi-disciplinary simulation tools. As an example of the requirements, the original logo for the workshop illustrated coupled aeroelas- ticity, scattered radar waves and high lift problems. Optimisation is required with respect to mUltiple objectives under conflict. Among the many challenges to be addressed are mathematical, numerical and en- gineering problems involving coupled flows, structures and waves. Future prog- ress on these topics strongly depends on the physical and mathematical modelling of coupled disciplines and the development of associated multi-disciplinary simu- lation tools. Strong couplings require appropriate exchanges of different kinds of information: physical and geometrical description of models, coupling of Partial Differential Equations (PDEs) at interfaces, and specification of boundary condi- tions or multi-objective functions in optimisation or control problems. Validation of multi-physics software also requires ever more efficient and accurate graphic visualisation tools representing experimental and computational data stored in da- tabases.