TY - JOUR
T1 - Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling
AU - Zhang, Chunyi
AU - Song, Lukai
AU - Fei, Chengwei
AU - Lu, Cheng
AU - Xie, Yongmei
N1 - Publisher Copyright:
© 2016 Chinese Society of Aeronautics and Astronautics
PY - 2016/8/1
Y1 - 2016/8/1
N2 - 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.
AB - 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.
KW - Advanced multiple response surface method
KW - Artificial neural network
KW - Intelligent algorithm
KW - Multi-failure mode
KW - Reliability analysis
KW - Turbine blisk
UR - http://www.scopus.com/inward/record.url?scp=84979659035&partnerID=8YFLogxK
U2 - 10.1016/j.cja.2016.06.017
DO - 10.1016/j.cja.2016.06.017
M3 - 文章
AN - SCOPUS:84979659035
SN - 1000-9361
VL - 29
SP - 962
EP - 971
JO - Chinese Journal of Aeronautics
JF - Chinese Journal of Aeronautics
IS - 4
ER -