Automated preliminary structural rotor design using genetic algorithms and neural networks

Proceedings of the ASME Turbo Expo

Volumn 6, Issue PART C, 2008, Pages 2555-2567

  Dominique, S ^a   Trepanier, J Y ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION ALGORITHMS; AERODYNAMIC DATA; CBR; COMPUTING TIME; CYCLE TIME; DATA BANK; DESIGN FUNCTIONS; DESIGN ITERATION; DESIGN PARAMETERS; DESIGN PROCESS; DESIGN SOLUTIONS; DETAILED DESIGN; GAS TURBINE ROTORS; NEIGHBOURHOOD; NEURAL NETWORK MODEL; PARAMETER SET; PRELIMINARY STRUCTURAL DESIGN; RELATIVE IMPORTANCE; ROTOR DESIGN; SIMPLIFIED ANALYSIS; STARTING SOLUTIONS;

AERODYNAMICS; CASE BASED REASONING; GAS TURBINES; GENETIC ALGORITHMS; NEURAL NETWORKS; RECONSTRUCTION (STRUCTURAL); SET THEORY; STRUCTURAL ANALYSIS;

DESIGN;

EID: 69949129490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2008-51181     Document Type: Conference Paper

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