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[1]袁军社,杨全洁,李锋,等.基于神经网络的火箭发动机结构动力学优化[J].火箭推进,2016,42(04):53-57.
　YUAN Junshe,YANG Quanjie,LI Feng,et al.Neural network based structural dynamics optimization for liquid rocket engine[J].Journal of Rocket Propulsion,2016,42(04):53-57.
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基于神经网络的火箭发动机结构动力学优化

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V] 卷: 42 期数: 2016年04期 页码: 53-57 栏目: 研究与设计 出版日期: 2016-08-31
Title:
Neural network based structural dynamics optimization for liquid rocket engine
作者:
袁军社; 杨全洁; 李锋; 陈守芳
西安航天动力研究所,陕西西安,710100
Author(s):
YUAN Junshe; YANG Quanjie; LI Feng; CHEN Shoufang
关键词:
火箭发动机; 结构动力学优化; BP神经网络
Keywords:
liquid rocket engine; structural dynamics optimization; BP neural network
分类号:
V434-34
文献标志码:
A
摘要:
针对大推力液体火箭发动机研制中面临的低频结构动力学频率优化问题,采用有限元方法及试验模态方法建立了可信的发动机低频动力学模型,对结构的低频动力学特性进行灵敏度分析,提取对发动机低阶固有频率比较敏感的设计变量.以这些设计变量作为神经网络的输出,待优化的结构固有频率作为输入,通过改进的神经网络建立了映射关系,最后优化得到能使固有频率达到目标值的设计变量值.通过有限元验证,优化结果满足要求.

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更新日期/Last Update: 1900-01-01