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Advanced multiple response surface method of sensitivity analysis for turbine blisk reliability with multi-physics coupling
Authors:Zhang Chunyi;Song Lukai;Fei Chengwei;Lu Cheng;Xie Yongmei;
Institution:1. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China;2. School of Energy and Power Engineering, Beihang University, Beijing 100083, China
Abstract:To reasonably implement the reliability analysis and describe the significance of influenc-ing 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 sen-sitivity 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 reli-ability sensitivity analyses of multiple failure modes (deformation, stress and strain) with the pro-posed 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 tur-bine 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.
Keywords:Advanced multiple response surface method  Artificial neural network  Intelligent algorithm  Multi-failure mode  Reliability analysis  Turbine blisk
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