Optimization of a Composite Rotor Blade using a Genetic Algorithm with Local Search

The material and ply angles of a fiber-reinforced plastic (FRP) rotor blade of a helicopter are optimized using a genetic algorithm (GA) with local search. The variation of the structural stiffness with material and ply angle is investigated. The aim of the optimization is to find an optimal stackin...

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Published in:Journal of reinforced plastics and composites 2005-11, Vol.24 (16), p.1759-1769
Main Authors: Lee, Ya-Jung, Lin, Ching-Chieh, Ji, Jin-Chih, Chen, Jong-Sheng
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Language:English
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Applied sciences
Exact sciences and technology
Polymer industry, paints, wood
Technology of polymers
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cited_by cdi_FETCH-LOGICAL-c373t-e84fb73d1857106bac0e73d094cf43924f2aebb54a54dfda5de077e5a3b1ae3f3
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creator Lee, Ya-Jung
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description The material and ply angles of a fiber-reinforced plastic (FRP) rotor blade of a helicopter are optimized using a genetic algorithm (GA) with local search. The variation of the structural stiffness with material and ply angle is investigated. The aim of the optimization is to find an optimal stacking sequence that minimizes twist deformation. An optimum rotor blade is obtained using the ply angles as variables; failure, natural frequency, and minimum moment of inertia are used to constrain the optimization. The GA is employed as an optimization tool. A simplified local search is implemented in the final stage of optimization to reduce the searching time.
doi_str_mv 10.1177/0731684405052187
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subjects Application fields
Applied sciences
Exact sciences and technology
Polymer industry, paints, wood
Technology of polymers
title Optimization of a Composite Rotor Blade using a Genetic Algorithm with Local Search
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