Optimization of a composite rotor blade using a genetic algorithm with local search

被引：7
|
作者：
Lee, YJ
Lin, CC
Ji, JC
Chen, JS
机构：
[1] Natl Taiwan Univ, Dept Engn Sci & Ocean Engn, Taipei 106, Taiwan
[2] Chung Shan Inst Sci & Technol, Aeronaut Syst Res Div, Taichung, Taiwan
来源：
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES | 2005年 / 24卷 / 16期
关键词：
FRP; rotor wing; optimization; genetic algorithm; local search;
D O I：
10.1177/0731684405052187
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
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.
引用
收藏
页码：1759 / 1769
页数：11
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