Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling

被引:40
|
作者
Zhang Chunyi [1 ]
Song Lukai [1 ,2 ]
Fei Chengwei [2 ,3 ]
Lu Cheng [1 ]
Xie Yongmei [1 ]
机构
[1] Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin 150080, Peoples R China
[2] Beihang Univ, Sch Energy & Power Engn, Beijing 100083, Peoples R China
[3] Hong Kong Polytech Univ, Dept Mech Engn, Kowloon 999077, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Advanced multiple response surface method; Artificial neural network; Intelligent algorithm; Multi-failure mode; Reliability analysis; Turbine blisk; SIMULATION;
D O I
10.1016/j.cja.2016.06.017
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method (AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability. The mathematical model of AMRSM was established and the basic principle of multi-failure mode sensitivity analysis for reliability with AMRSM was given. The important parameters of turbine blisk failures are obtained by the multi-failure mode sensitivity analysis of turbine blisk. Through the reliability sensitivity analyses of multiple failure modes (deformation, stress and strain) with the proposed method considering fluid-thermal-solid interaction, it is shown that the comprehensive reliability of turbine blisk is 0.9931 when the allowable deformation, stress and strain are 3.7 x 10(-3) m, 1.0023 x 10(9) Pa and 1.05 x 10(-2) m/m, respectively; the main impact factors of turbine blisk failure are gas velocity, gas temperature and rotational speed. As demonstrated in the comparison of methods (Monte Carlo (MC) method, traditional response surface method (RSM), multiple response surface method (MRSM) and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy. The efforts of this study provide the AMRSM with high precision and efficiency for multi-failure mode reliability analysis, and offer a useful insight for the reliability optimization design of multi-failure mode structure. (C) 2016 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:962 / 971
页数:10
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