TY - JOUR
T1 - Threshold damage-based fatigue life prediction of turbine blades under combined high and low cycle fatigue
AU - Yue, Peng
AU - Ma, Juan
AU - Huang, Han
AU - Shi, Yang
AU - Zu, Jean W.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9
Y1 - 2021/9
N2 - Life prediction based on the damage mechanics of aero-engine turbine blades is crucial for performing their strength design and ensuring the operational reliability under combined high and low cycle fatigue (CCF) loadings. In view of this, a simple and efficient life prediction method is developed to consider the interaction of high cycle fatigue (HCF) and low cycle fatigue (LCF) without any additional material constants, and as a basis of that a new nonlinear damage accumulation model is proposed by introducing threshold damage of the component related to material type and current HCF damage. In order to validate the presented methodology, model predictions were compared with the experimental data sets of turbine blades and its alloy materials. The predicted results indicate that the simple life prediction model is capable of estimating the fatigue life quickly with an acceptable accuracy in contrast to other four existing ones. Moreover, the threshold damage-based method provides the higher prediction accuracy than others due to improved HCF damage determined by the damage threshold.
AB - Life prediction based on the damage mechanics of aero-engine turbine blades is crucial for performing their strength design and ensuring the operational reliability under combined high and low cycle fatigue (CCF) loadings. In view of this, a simple and efficient life prediction method is developed to consider the interaction of high cycle fatigue (HCF) and low cycle fatigue (LCF) without any additional material constants, and as a basis of that a new nonlinear damage accumulation model is proposed by introducing threshold damage of the component related to material type and current HCF damage. In order to validate the presented methodology, model predictions were compared with the experimental data sets of turbine blades and its alloy materials. The predicted results indicate that the simple life prediction model is capable of estimating the fatigue life quickly with an acceptable accuracy in contrast to other four existing ones. Moreover, the threshold damage-based method provides the higher prediction accuracy than others due to improved HCF damage determined by the damage threshold.
KW - Combined high and low cycle fatigue
KW - Damage accumulation
KW - Life prediction
KW - Threshold damage
KW - Turbine blades
UR - http://www.scopus.com/inward/record.url?scp=85107033471&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107033471&partnerID=8YFLogxK
U2 - 10.1016/j.ijfatigue.2021.106323
DO - 10.1016/j.ijfatigue.2021.106323
M3 - Article
AN - SCOPUS:85107033471
SN - 0142-1123
VL - 150
JO - International Journal of Fatigue
JF - International Journal of Fatigue
M1 - 106323
ER -