Uncertainty quantification of rotor blade dynamic strain reconstruction based on blade tip timing

被引:0
|
作者
Chen L. [1 ,2 ]
Qiao B. [1 ,2 ]
Ao C. [1 ,2 ]
Fu S. [3 ]
Liu M. [1 ,2 ,3 ]
Chen X. [1 ,2 ]
机构
[1] School of Mechanical and Engineering, Xi’an Jiaotong University, Xi’an
[2] The State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an
[3] Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, Chengdu
来源
关键词
blade tip timing; dynamic strain reconstruction; Kriging proxy model; maximum entropy method; uncertainty quantification;
D O I
10.13224/j.cnki.jasp.20210275
中图分类号
学科分类号
摘要
Based on the theory of blade non‑contact dynamic strain reconstruction,research on the uncertainty quantification method of dynamic strain reconstruction was carried out. Accord‑ ing to the variance composition theorem, a model of the blade reconstructed dynamic strain un‑ certainty for quantitative analysis was established. A simulated rotor blade was used as the research object,and the rotation experiment was carried out. The circumferential Fourier Fitting was used to obtain the amplitude of measuring point under different blade tip timing sensor layouts, and the maximum entropy method was adopted to fit the probability density function of the amplitude distribution,which could be used to determine the uncertainty parameters of the blade‑tip‑timing vibration measurement. The finite element model of the blade was modified by combining the Kriging proxy model and the resonant frequency of the test. The displacement‑strain conversion factors of the key measuring points were obtained,and the uncertainty parameters of the conver‑ sion factor considering the uncertainty of the resonance speed and measuring point position were obtained. The mean value, standard uncertainty and inclusion interval of the reconstructed dynamic strain were obtained and compared with the measured data of the strain gauge. Results showed that except for the measuring point A of No. 5 blade,the measured dynamic strains were all within the 95% confidence interval of the reconstructed dynamic strain, and the dynamic strain reconstruction error of the strain gauges of all blades didn’t exceed 15%. © 2022 BUAA Press. All rights reserved.
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页码:1456 / 1468
页数:12
相关论文
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