摘要
借助于试验设计和进化Kriging近似模型,提出了一种金属加筋板结构布局优化策略。其基本思想是用试验设计法选取样本点,进行有限元分析得到该样本点的响应(重量、屈曲因子和剩余强度系数),以此分别建立Kriging近似模型。并采用更新技术提高Kriging模型的精度,应用折衷法和遗传算法对该近似模型进行优化获得最优解。金属加筋板结构设计变量包括加强筋型式、加强筋间距和尺寸变量,约束为强度和屈曲。本文所做的金属材料加筋板结构布局优化设计算例表明,所提方法优化效果明显,优化效率高。
An optimization method for metallic stiffened panel is proposed based on the design of experiment （DOE） and the updated Kriging approximate model. The initial samples are created by DOE, then the responses corresponding to the initial samples are computed by finite element algorithm（FEA）. The samples include the weight, the buckling factor and the residual strength coefficient. The initial Kriging models are derived through these samples, as well as the updated Kriging models are rederived with the updated samples, Furthermore the optimal solution is obtained by the trade off method and the genetic algorithm （GA） based on the Kriging model. The configuration optimization variables include the stiffener shape, stiffener span and size. The constraints are strength, global and local buckling. A metallic stiffened panel is analyzed and optimized. The result shows that the method can find out the approximate optimal solution, thus improving the optimal efficiency.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第4期497-500,共4页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
加筋板
布局优化
进化Kriging模型
屈曲
stiffened panel
configuration optimization
updated Kriging model
buckling
