TY - JOUR
T1 - Structural dynamic reliability estimation with advanced extremum Kriging method
AU - Zhao, Y. J.
AU - Lu, C.
AU - Li, H.
AU - Liu, H. T.
AU - Fei, C. W.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/2/2
Y1 - 2021/2/2
N2 - To enhance the computational performance of the structural dynamic reliability estimation, advanced extremum Kriging method (AEKM) is proposed fusing Kriging surrogate model, multi-population genetic algorithm and response surface method-based extremum thought (ERSM) in this paper. The applicability of the AEKM is verified via the blisk radial deformation dynamic reliability analysis of an aeroengine high-pressure compressor. The results show that the reliability level of the blisk is 0.9956 as the allowable value of radial running deformation 1.75 × 10-3 m. Moreover, the developed AEKM is superior to other three surrogate models, including ERSM, K-ERSM and IK-ERSM, in terms of computing precision and analytical efficiency. Besides, the analytical precision of the developed method is basically consistent with the direct simulation, and the analytical time is obviously superior to the direct simulation. Therefore, the AEKM is illustrated to be an effective way for structural dynamic reliability analysis, which enriches complex structural reliability theory.
AB - To enhance the computational performance of the structural dynamic reliability estimation, advanced extremum Kriging method (AEKM) is proposed fusing Kriging surrogate model, multi-population genetic algorithm and response surface method-based extremum thought (ERSM) in this paper. The applicability of the AEKM is verified via the blisk radial deformation dynamic reliability analysis of an aeroengine high-pressure compressor. The results show that the reliability level of the blisk is 0.9956 as the allowable value of radial running deformation 1.75 × 10-3 m. Moreover, the developed AEKM is superior to other three surrogate models, including ERSM, K-ERSM and IK-ERSM, in terms of computing precision and analytical efficiency. Besides, the analytical precision of the developed method is basically consistent with the direct simulation, and the analytical time is obviously superior to the direct simulation. Therefore, the AEKM is illustrated to be an effective way for structural dynamic reliability analysis, which enriches complex structural reliability theory.
UR - http://www.scopus.com/inward/record.url?scp=85101641382&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/1043/5/052030
DO - 10.1088/1757-899X/1043/5/052030
M3 - 会议文章
AN - SCOPUS:85101641382
SN - 1757-8981
VL - 1043
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 5
M1 - 052030
T2 - 10th International Conference on Quality, Reliability, Risk, Maintenance,and Safety Engineering, QR2MSE 2020
Y2 - 8 October 2020 through 11 October 2020
ER -