Modified efficient global optimization for a hat-stiffened composite panel with buckling constraint

被引：0
|
作者：
Todoroki, Akira [1 ,2 ,3 ]
Sekishiro, Masato [1 ,2 ,3 ]
机构：
[1] Tokyo Institute of Technology, Tokyo 152-8552, Japan
[2] Department of Mechanical Sciences and Engineering, 2-12-1, O-okayama, Meguro, Japan
[3] AIAA
来源：
AIAA Journal | 2008年 / 46卷 / 09期
关键词：
The optimization method for composite structural components described herein uses modified efficient global optimization with a multi-objective genetic algorithm and a kriging response surface. For efficient global optimization using kriging; the kriging response surface is used as a representative of the function value. The stochastic distribution of the kriging is used to improve the estimation error of the kriging surrogate model. Using efficient global optimization; a hat-stiffened composite panel was optimized to reduce the weight with the buckling load constraint. The expected improvement was used as a single objective function of a particle swarm optimization. Nevertheless; it is difficult to obtain a feasible solution that satisfies buckling load constraints with the progress of optimization. Using a multi-objective genetic algorithm; we obtain the feasible optimal structure satisfying the constraints. The expected improvement objective function is divided into two objective functions: weight reduction and the uncertainty of satisfaction of the buckling load constraint. Kriging approximation; which is improved with the selected Pareto optimal frontier; reduces the computational cost. Also; a genetic algorithm is used to optimize the stiffened panel configuration. The fractal branch-and-bound method is used for stacking sequence optimizations. This method obtained a feasible optimal structure at a low computational cost;
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学科分类号：
摘要：
Conference article (CA)
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页码：2257 / 2264
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