Accession Number : ADA305771

Title :   Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design,

Corporate Author : RENSSELAER POLYTECHNIC INST TROY NY DEPT OF MECHANICAL ENGINEERING AERONAUTIC AL ENGINEERING AND MECHANICS

Personal Author(s) : Lee, Jongsoo ; Hajela, Prabhat

PDF Url : ADA305771

Report Date : NOV 1995

Pagination or Media Count : 18

Abstract : The present paper describes an adaptation of genetic algorithms in the design of large-scale multidisciplinary optimization problems. A hingeless composite rotor blade is used as the test problem, where the formulation of the objective and constraint functions requires the consideration of disciplines of aerodynamics, performance, dynamics, and structures. A rational decomposition approach is proposed for partitioning the large-scale multidisciplinary design problem into smaller, more tractable subproblems. A design method based on a parallel implementation of genetic algorithms is shown to be an effective strategy, providing increased computational efficiency, and a natural approach to account for the coupling between temporarily decoupled subproblems. A central element of the proposed approach is the use of artificial neural networks for identifying a topology for problem decomposition and for generating global function approximations for use in optimization. (AN)

Descriptors :   *ALGORITHMS, *NEURAL NETS, *ROTOR BLADES(ROTARY WINGS), MATHEMATICAL MODELS, OPTIMIZATION, STOCHASTIC PROCESSES, COMPUTER AIDED DESIGN, FINITE ELEMENT ANALYSIS, STRUCTURAL ANALYSIS, EFFICIENCY, INPUT OUTPUT PROCESSING, PARALLEL PROCESSING, COMPOSITE STRUCTURES, APPROXIMATION(MATHEMATICS), AERODYNAMIC LOADING, PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE, SYSTEMS ANALYSIS, SUBROUTINES, DESIGN CRITERIA, DECOMPOSITION, AERODYNAMIC LIFT, AERODYNAMICS, AIRCRAFT DESIGN, OBJECT ORIENTED PROGRAMMING.

Subject Categories : Computer Programming and Software
      Cybernetics
      Helicopters

Distribution Statement : APPROVED FOR PUBLIC RELEASE