Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Structural Optimization Design of High Aspect Ratio Composite Wing Based on Genetic Algorithm
DOI:
Author:
Affiliation:

China Academy of Aerospace Aerodynamics,China Academy of Aerospace Aerodynamics,China Academy of Aerospace Aerodynamics,China Academy of Aerospace Aerodynamics,China Academy of Aerospace Aerodynamics

Clc Number:

V224

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Lightening the structure weight is one of the most important targets of the aircraft design. It could be realized by applying the composite material instead of the metal and optimizing the structure. An optimization design is done for a high aspect ratio composite wing in this paper. The design variables are the position of the spars and the composite layup. The target is to minimum the weight. And the constraint conditions are the structural strength and stiffness. The optimization is done through genetic algorithm with Matlab calling Patran. The composite layup library is built to solve the problem that the number of the composite layup variables is too huge. The result shows that this optimization method is effective and it is useful in engineering design. At the same time, the composite layup library also can be widely used in other works related with composite layup optimization.

    Reference
    Related
    Cited by
Get Citation

Shi Xudong, Chen Liang, Zhang Bihui, Jin Yanwei, Ou Zhongming. Structural Optimization Design of High Aspect Ratio Composite Wing Based on Genetic Algorithm[J]. Advances in Aeronautical Science and Engineering,2015,6(1):

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 29,2014
  • Revised:October 13,2014
  • Adopted:November 17,2014
  • Online: June 22,2016
  • Published: