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

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• 作者：Chunyi Zhang^a ; ^{zhangchunyi@hrbust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Lukai Song^a ; ^b ; ^{songlukai29@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Chengwei Fei^b ; ^c ; ^{feicw544@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Cheng Lu^a ; ^{liuyue501790058@qq.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Yongmei Xie^a ; ^{939406136@qq.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Advanced multiple response surface method ; Artificial neural network ; Intelligent algorithm ; Multi-failure mode ; Reliability analysis ; Turbine blisk
• 刊名：Chinese Journal of Aeronautics
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：29
• 期：4
• 页码：962-971
• 全文大小：2343 K

文摘

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 × 10⁻³ m, 1.0023 × 10⁹ Pa and 1.05 × 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.