Volume 39, Number 6, December 2021
|Page(s)||1312 - 1319|
|Published online||21 March 2022|
Fatigue reliability and sensitivity analysis of turbine disk with fuzzy failure status
School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, China
2 Aircraft Reliability Institute, Northwestern Polytechnical University, Xi'an 710072, China
Low-cycle fatigue is typical failure mode of aero-engine turbine disk, traditional reliability analysis method based on the binary state assumption has certain limitations for turbine disk reliability evaluation, because it doesn't consider the change of damage strength parameter caused by loading sequences and the enhanced damage by small load. On the basis of fatigue reliability analysis of the turbine disk, this paper considers the fuzzy state assumption of turbine disk, then select the membership function and indicate fuzzy failure probability of turbine disk, which can be transformed into a series of conventional failure probability by Gaussian quadrature. An active learning Kriging model is used to orderly calculate the failure probability corresponding to different limit state functions and the fuzzy failure probability of turbine disk. A global sensitivity index based on fuzzy failure probability is established to analyze the influence of input variables on the fuzzy failure probability, which is helpful to the reliability design and structural optimization of the turbine disk.
Key words: turbine disk / low cycle fatigue life / fuzzy reliability / active learning Kriging / sensitive analysis
关键字 : 涡轮盘 / 低循环疲劳寿命 / 模糊可靠性 / 自适应学习Kriging / 灵敏度分析
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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