基于遗传算法的火焰筒浮动瓦块热-结构耦合优化分析

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

南京航空航天大学能源与动力学院,南京 210016

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出版历程
- 收稿日期: 2011-06-22
- 修回日期: 2011-08-30
- 刊出日期: 2012-01-28

Genetic algorithm model-based optimization for float-wall with thermal-structural coupled

College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

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.
- 火焰筒 /
- 浮动瓦块 /
- 热-结构耦合 /
- 结构优化 /
- 遗传算法
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.
- combustor /
- float-wall /
- thermal-structural coupled /
- structure optimization /
- genetic algorithm

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参考文献(16)

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