Optimizing hydrodynamic design by using computational fluid dynamics and genetic algorithms
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Helsinki University of Technology |
Licentiate thesis
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Instructions for the author
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Date
2003
Department
Major/Subject
Vesitalous ja vesirakennus
Mcode
Yhd-12
Degree programme
Language
en
Pages
xi + 88 s. + liitt. 22
Series
Description
Supervisor
Karvonen, TuomoKeywords
design optimization, hydrodynamics, CFD, computational fluid dynamics, genetic algorithms, GA, Ansys, Flotran, Epogy