Structural optimization for deformable mirror hexagon support based on artificial intelligence technology

Author

Zhao, Fu ; Gong, Yanjue ; Zhang, Li ; Xiang, Huiyu ; Wang, Ping

Author_Institution

Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

491

Lastpage

494

Abstract

Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multivariable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms (GA) is applied to optimization of the structural parameters for the DM hexagon support structure. Finally, the random vibration analysis is given for the optimized support structure and the results indicate the optimization method based on artificial intelligent technology is effective.

Keywords

deformation; finite element analysis; genetic algorithms; mirrors; neural nets; structural engineering computing; vibrations; ANN; DM hexagon support structure; artificial intelligence technology; artificial neural network; finite element software; genetic algorithms; intelligent optimized method; mirror deformability; modal analysis; multivariable structure; random vibration analysis; structural optimization; Artificial intelligence; Artificial neural networks; Delta modulation; Finite element methods; Genetic algorithms; Intelligent structures; Mirrors; Modal analysis; Optimization methods; Structural engineering; artificial intelligent; artificial neural network (ANN); genetic algorithms (GA); optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4898-2

Electronic_ISBN

978-1-4244-4900-6

Type

conf

DOI

10.1109/ICNIDC.2009.5360971

Filename

5360971