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基于遗传算法的火焰筒浮动瓦块热-结构耦合优化分析
引用本文:高建辉,温卫东,崔海涛.基于遗传算法的火焰筒浮动瓦块热-结构耦合优化分析[J].航空动力学报,2012,27(1):41-47.
作者姓名:高建辉  温卫东  崔海涛
作者单位:南京航空航天大学能源与动力学院,南京,210016
摘    要:以火焰筒浮动瓦块结构为研究对象,将遗传算法和“穷举搜索法”相结合,采用二步递进策略对浮动瓦块进行了热-结构耦合优化分析.首先利用遗传算法对瓦块结构中安装螺栓杆的位置变量进行优化;然后利用“穷举搜索法”对瓦块的厚度和螺栓杆直径进行优化.通过优化分析得到了结构性能更优的瓦块结构方案,使其最大应力比降低了22.77%.结果表明遗传算法和“穷举搜索法”相结合的优化方法应用在浮动瓦块的结构优化设计中是有效、合理的.

关 键 词:火焰筒  浮动瓦块  热-结构耦合  结构优化  遗传算法
收稿时间:2011/6/22 0:00:00
修稿时间:2011/8/30 0:00:00

Genetic algorithm model-based optimization for float-wall with thermal-structural coupled
GAO Jian-hui,WEN Wei-dong and CUI Hai-tao.Genetic algorithm model-based optimization for float-wall with thermal-structural coupled[J].Journal of Aerospace Power,2012,27(1):41-47.
Authors:GAO Jian-hui  WEN Wei-dong and CUI Hai-tao
Institution:College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:Taking the float-wall as the object of study,combined genetic algorithm with exhaustive search,the thermal-structure coupling optimization of float-wall was researched by the way of two-step progression.Using genetic algorithm to carrying out install position optimization;then,using exhaustive search to optimize the thickness and the bolt diameter.A float-wall has more excellent capability was obtained;the stress index was decreased by 22.77%.The results show that the optimal technology applied in optimal design of float-wall is effective and reasonable.
Keywords:combustor  float-wall  thermal-structural coupled  structure optimization  genetic algorithm
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