Structure Optimization of Large Composite Wing Box with Parallel Genetic Algorithm

2011 ◽  
Vol 48 (6) ◽  
pp. 2145-2148 ◽  
Author(s):  
Peng Jin ◽  
Bifeng Song ◽  
Xiaoping Zhong
Keyword(s):  
Genetic Algorithm ◽  
Structure Optimization ◽  
Parallel Genetic Algorithm ◽  
Composite Wing ◽  
Wing Box

Optimal Design of Composite Wing-Box by Genetic Algorithm

2014 ◽  
Vol 697 ◽  
pp. 365-368
Author(s):  
Guang Rong Pu ◽  
Peng Gang Mu
Keyword(s):  
Genetic Algorithm ◽  
Minimum Weight ◽  
Design Problems ◽  
Finite Element Program ◽  
Structural Layout ◽  
Design Variables ◽  
Load Factors ◽  
Element Program ◽  
Composite Wing ◽  
Wing Box

With the increasing use of composite materials in aviation structures, stability and weights of wing-box are important projects that engineers care about. In this paper, the genetic algorithm is chosen to deal with the conceptual design problems of composite wing-box. For the more excellent capabilities in optimization computation of multi-dimensional functions, particularly when overcoming local-best solutions, genetic algorithm is presented to determine the design variables of complicated wing-box. Optimization algorithm is realized with MATLAB software, which calls the finite element program MSC.Nastran to get buckling load factors, and structural layout, thickness of plies and minimum weight of wing-box are obtained simultaneously. The results show that the approach proposed is available, effective to preliminary design of the mainly aeronautical structures.

Structural Optimization of Composite Wing Based on Different Blending Models Using Genetic Algorithm

2013 ◽  
Vol 401-403 ◽  
pp. 886-890 ◽  
Author(s):  
Xiao Ping Zhong ◽  
Peng Jin
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Structural Integrity ◽  
Optimal Designs ◽  
Parallel Genetic Algorithm ◽  
Composite Optimization ◽  
Region Division ◽  
Wing Optimization ◽  
Design Freedom ◽  
Composite Wing

In previous studies guide-based blending including inner and outer blending has been found to be an efficient way to deal with large composite optimization problem considering structural integrity. A new blending model named generalized blending based on genetic algorithm for composite optimization is presented. First, On the basis of region division, a length-control indicator is introduced to decide the covered regions of each ply for the generalized blending model. Also, the master-slave parallel genetic algorithm (GA) is adopted to decrease optimization time. Finally, the three blending models are used for a large composite wing optimization. The result shows that the three optimal designs are manufacturable and the generalized blending model has more design freedom in blending designs.

Research on text feature clustering based on an improved parallel genetic algorithm

2015 ◽  
Author(s):  
M. Y. Jiang ◽  
X. J. Fan ◽  
Y. X. Zhou ◽  
J. Lian ◽  
J. Q. Jiang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Parallel Genetic Algorithm ◽  
Feature Clustering ◽  
Text Feature
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