Extremum selection method of random variable for nonlinear dynamic reliability analysis of turbine blade deformation

被引：21

作者：

Fei, Chengwei ^{[1
]}

Bai, Guangchen ^{[1
]}

机构：

[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China

来源：

PROPULSION AND POWER RESEARCH | 2012年 / 1卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Extremum selection method (ESM); Turbine blade; Radial deformation; Reliability analysis; Random variable; Nonlinear; Dynamic;

D O I：

10.1016/j.jppr.2012.10.010

中图分类号：

V [航空、航天];

学科分类号：

08 [工学]; 0825 [航空宇航科学与技术];

摘要：

To effectively select random variable in nonlinear dynamic reliability analysis, the extremum selection method (ESM) is proposed. Firstly, the basic idea was introduced and the mathematical model was established for the ESM. The nonlinear dynamic reliability analysis of turbine blade radial deformation was taken as an example to verify the ESM. The results show that the analysis precision of the ESM is 99.972%, which is almost kept consistent with that of the Monte Carlo method; moreover, the computing time of the ESM is shorter than that of the traditional method. Hence, it is demonstrated that the ESM is able to save calculation time and improve the computational efficiency while keeping the calculation precision for nonlinear dynamic reliability analysis. The present study provides a method to enhance the nonlinear dynamic reliability analysis in selecting the random variables and offers a way to design structure and machine in future work. (C) 2012 National Laboratory for Aeronautics and Astronautics. Production and hosting by Elsevier B.V. All rights reserved.

引用

页码：58 / 63

页数：6

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