TY - GEN
T1 - Reliability analysis on fatigue life of turbine disk regarding for the correlation between divided zones
AU - Chen, Gaoxiang
AU - Fan, Jiang
N1 - Publisher Copyright:
Copyright © 2020 ASME
PY - 2020
Y1 - 2020
N2 - Failure of a turbine disk may occur in multiple parts of the disk. It should be taken into consideration that during the process of failure, the failure risk of other relevant parts tend to increase due to the change of stress state of the disk. Therefore, the failure risks of different parts are related. This paper puts forward a reliability analysis method considering the failure correlation between different zones of the disk. Firstly, the dependence between the low cycle fatigue (LCF) of the whole turbine disk and the LCF of each zone is considered in building a multivariate reliability model based on Copula function theory. With utilizing the sample points obtained by finite element method (FEA), the multidimensional maximum likelihood theory is used to estimate the parameters in the marginal distribution of turbine disk life and the correlation coefficients in the Copula model, and to quantify the failure correlation between each zone of the turbine disk. With regard to the lifetime output of different zones, fourth-order polynomial high-precision surrogate models are established, which greatly improves the efficiency of Monte Carlo simulation. Eventually, the LCF life reliability analysis of GH720Li turbine disk is performed.
AB - Failure of a turbine disk may occur in multiple parts of the disk. It should be taken into consideration that during the process of failure, the failure risk of other relevant parts tend to increase due to the change of stress state of the disk. Therefore, the failure risks of different parts are related. This paper puts forward a reliability analysis method considering the failure correlation between different zones of the disk. Firstly, the dependence between the low cycle fatigue (LCF) of the whole turbine disk and the LCF of each zone is considered in building a multivariate reliability model based on Copula function theory. With utilizing the sample points obtained by finite element method (FEA), the multidimensional maximum likelihood theory is used to estimate the parameters in the marginal distribution of turbine disk life and the correlation coefficients in the Copula model, and to quantify the failure correlation between each zone of the turbine disk. With regard to the lifetime output of different zones, fourth-order polynomial high-precision surrogate models are established, which greatly improves the efficiency of Monte Carlo simulation. Eventually, the LCF life reliability analysis of GH720Li turbine disk is performed.
KW - Copula function
KW - Failure correlation
KW - Reliability
KW - Turbine disk
UR - https://www.scopus.com/pages/publications/85099882539
U2 - 10.1115/GT2020-14694
DO - 10.1115/GT2020-14694
M3 - 会议稿件
AN - SCOPUS:85099882539
T3 - Proceedings of the ASME Turbo Expo
BT - Structures and Dynamics
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020
Y2 - 21 September 2020 through 25 September 2020
ER -