基于遗传算法的飞机机翼结构优化设计研究
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  • 英文篇名:Study on Optimistic Design of Aircraft Wing Structure Based on Genetic Algorithm
  • 作者:李郁 ; 张亚锋 ; 孙军栋
  • 英文作者:LI Yu;ZHANG Ya-feng;SUN Jun-dong;Department of Mechanical and Electrical Engineering,Northwestern Polytechnical University Mingde College;
  • 关键词:遗传算法 ; 结构 ; 优化设计
  • 英文关键词:genetic algorithm;;aerodynamic configuration;;optimization and design
  • 中文刊名:HKJJ
  • 英文刊名:Aeronautical Computing Technique
  • 机构:西北工业大学明德学院机电工程系;
  • 出版日期:2019-05-25
  • 出版单位:航空计算技术
  • 年:2019
  • 期:v.49;No.210
  • 基金:陕西省教育厅教学改革研究重点攻关项目资助(17BG029)
  • 语种:中文;
  • 页:HKJJ201903008
  • 页数:3
  • CN:03
  • ISSN:61-1276/TP
  • 分类号:36-38
摘要
利用遗传算法进行了低雷诺数下的飞机机翼结构设计及优化,并制作原理样机以检查设计的可行性及正确性。优化中设计变量取为机翼部件尺寸,优化目标是机翼重量和机翼结构的最大位移最小。结果表明优化设计方法十分有效,可以用来对具有常规布局形式的飞机进行结构优化设计。
        The paper express aerodynamic configuration optimization design of lower Reynold number aeroplane using genetic algorithm,and mading prototype test feasibility and correctness of design.The geometrical parameters of the wing and tail planform and few geometrical parameters of fuselage are design variable.Optimized objects are the ration of lift to drag in cruise segment and weight of aeroplane.The optimization results show that the optimization design method presented here is effective to be employed to carry out aerodynamic configuration design of aircraft with conventional layout.
引文
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