Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46222
Título: Meshless numerical simulation of (full) potential flows in a nozzle by genetic algorithms
Autores/as: Winter, G. 
Abderramán, J. C.
Jiménez, J. A.
Gonzalez, B. 
Benitez, E.
Cuesta, P. 
Clasificación UNESCO: 1206 Análisis numérico
120601 Construcción de algoritmos
120326 Simulación
Palabras clave: Compressible flow
Evolutionary algorithms
Genetic algorithms
Meshless heuristic simulation
Nozzle flows
Fecha de publicación: 2003
Editor/a: WILEY
Publicación seriada: International Journal for Numerical Methods in Fluids 
Conferencia: European Congress Computational Fluid Dynamics( CFD 2001)
Resumen: A new procedure to solve some fluid problems formulated in elliptical partial differential equations is presented. A Genetic Algorithm with a dynamical encoding and a partial grid sampling is proposed for it as the advantages of solving the problem without using all grid nodes at the same time, and of adjusting step grid, without increasing the complexity. The designed method has immediate applications some self‐contained and some in combination with other traditional methods. Also, it provides a method alternative to the existing ones and uses simpler operations. Theoretical mathematical foundations of the problem are easily incorporated and that as a powerful characteristic of the method. In practice, our focus is to obtain an acceptable approximated solution. The method makes it possible to solveproblems with vague boundary conditions since no algebraic equation system is involved in the process. From the solution reached we have good information available to make an appropriate mesh to solve the problem through a traditional method. Comparative results for both linear and non‐linear potential flow problems inside a nozzle are given.
URI: http://hdl.handle.net/10553/46222
ISSN: 0271-2091
DOI: 10.1002/fld.545
Fuente: International Journal for Numerical Methods in Fluids [ISSN 0271-2091], v. 43 (10-11), p. 1167-1176
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