TY - JOUR
T1 - Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings
AU - Yue, Peng
AU - Ma, Juan
AU - Zhou, Changhu
AU - Zu, Jean W.
AU - Shi, Baoquan
N1 - Publisher Copyright:
© The Author(s) 2021.
PY - 2021/6
Y1 - 2021/6
N2 - Establishment of damage accumulation models for reflecting the combined damage mechanism on the fatigue behavior of aero-engine turbine blades is crucial for their safety. In this work, a novel combined high and low cycle fatigue (CCF) life prediction methodology is presented as a basis of that to consider the interaction between low and high cycle fatigues. Accordingly, a dynamic reliability model is proposed to study the operational reliability of turbine blades under CCF loadings. Moreover, experimental data of materials along with the collected field data from the actual turbine blades are applied to validate the CCF life prediction model and the dynamic reliability model. The validation of the results is conducted by a comparison analysis, which indicates that the proposed life prediction method yields better accuracy, while the dynamic reliability model is proved to be more in line with the outcomes derived by the Monte Carlo simulation.
AB - Establishment of damage accumulation models for reflecting the combined damage mechanism on the fatigue behavior of aero-engine turbine blades is crucial for their safety. In this work, a novel combined high and low cycle fatigue (CCF) life prediction methodology is presented as a basis of that to consider the interaction between low and high cycle fatigues. Accordingly, a dynamic reliability model is proposed to study the operational reliability of turbine blades under CCF loadings. Moreover, experimental data of materials along with the collected field data from the actual turbine blades are applied to validate the CCF life prediction model and the dynamic reliability model. The validation of the results is conducted by a comparison analysis, which indicates that the proposed life prediction method yields better accuracy, while the dynamic reliability model is proved to be more in line with the outcomes derived by the Monte Carlo simulation.
KW - Combined high and low cycle fatigue
KW - fatigue damage
KW - life prediction
KW - load interaction
KW - reliability modeling
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U2 - 10.1177/1056789520986854
DO - 10.1177/1056789520986854
M3 - Article
AN - SCOPUS:85100142679
SN - 1056-7895
VL - 30
SP - 825
EP - 844
JO - International Journal of Damage Mechanics
JF - International Journal of Damage Mechanics
IS - 6
ER -