一种基于Kriging模型的新能源电动飞机结构可靠性分析方法  

A new energy electric aircraft structural reliability analysis method based on kriging model

作　　者：邓延森 李景奎 吴新星 赵立杰 DENG Yan-sen;LI Jing-kui;WU Xin-xing;ZHAO Li-jie(Civil Aviation College,Shenyang Aerospace University,Shenyang 110136,China;Liaoning General Aviation Academy,Shenyang 110136,China)

机构地区：[1]沈阳航空航天大学民用航空学院,辽宁沈阳110136 [2]辽宁通用航空研究院,辽宁沈阳110136

出　　处：《新能源航空》2023年第2期50-55,共6页

基　　金：新能源通用飞机关键结构件无统计规律可靠性设计研究,JYT19003

摘　　要：新能源电动飞机的结构安全可靠是整机研制过程中的关键问题。为了提高其结构可靠性分析效率,本文采用基于Kriging模型的主动学习方法用于结构可靠性分析,该方法由两部分组成:前者基于EFF学习函数,确保了Kriging模型在极限状态函数附近局部采样效率,后者结合样本点概率密度函数和Kriging模型的统计信息,使得该方法能兼顾整个变量空间并在全局方差过大区域进行采样。本论文将上述两种优势相结合,既保证了采样的全局精度,又使得采样过程不会陷入局部最优,优先选择概率密度函数大且靠近极限状态函数的样本点建立Kriging模型,极大地提升了结构可靠性分析效率。最后利用新能源电动飞机主起落架结构验证了所提方法的有效性和准确性。结果表明,该方法能显著提高结构可靠性分析的效率。The structural safety of the new energy electric aircraft is a key problem in its development.In order to improve the structural reliability analysis efficiency of new energy electric aircraft,an active learning method based on Kriging model is proposed for structural reliability analysis.The method consists of two parts:the former is based on EFF learning function,which ensures the local sampling efficiency of the Kriging model near the limit state function.The latter combines the probability density function of sample points with the statistical information of Kriging model,so that the method can take into account the whole variable space and sample where the global variance is too large.By combining the above two advantages,the proposed method not only guarantees the global accuracy of sampling,but also makes the sampling process not fall into the local optimal.The sample points with large probability density function and close to the limit state function are preferentially selected to establish the Kriging model,which greatly improves the efficiency of structural reliability analysis.Finally,the new energy electric aircraft main landing gear structure is used to verify the effectiveness and accuracy of the proposed method.The results show that this method can significantly improve the efficiency of structural reliability analysis.

关 键 词：新能源电动飞机 KRIGING模型 主动学习方法 结构可靠性分析 

分 类 号：V272[航空宇航科学与技术—飞行器设计]