Combined high and low cycle fatigue life prediction model based on damage mechanics and its application in determining the aluminized location of turbine blade

Han, Lei; Huang, Dawei; Yan, Xiangqiao; Chen, Cao; Zhang, Xiaoyong; Qi, Mingjing

doi:10.1016/j.ijfatigue.2019.05.022

Cited by 43 publications

(32 citation statements)

References 32 publications

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“…In order to address the interaction of HCF and LCF damage, CCB damage can be modified by adding a coupled damage (Han et al, 2019), as…”

Section: Proposed Nonlinear Fatigue Damage Accumulation Modelmentioning

confidence: 99%

“…However, most of the available publications related to the damage mechanisms of turbine blades are emphasized either HCF or LCF damage mechanism independently and resulted in unneglectable deviations of the lifetime from model prediction and that from experimental data (Zhang and Guo, 2018). Moreover, neither pure HCF nor LCF, compared with CCF damage, could adequately reflect the actual operational process and accurately model the damage mechanism of blade fatigue strength design (Han et al, 2019;Mendia et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Zheng et al (Zheng et al, 2013) provided an interaction damage model by performing interaction fatigue tests utilizing periodic underloads. According to the damage mechanics theory, Han et al (Han et al, 2019) developed a CCF life prediction model accounting for HCF-LCF interaction with acceptable accuracy. Although current researches have attempted to propose more accurate life prediction methods to consider CCF loadings, they have underlying difficulties in a range of applications due to the presence of fitting parameters or material constants, which require a series of CCF tests to be determined.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings

Yue

Zhou

et al. 2021

International Journal of Damage Mechanics

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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.

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“…In order to address the interaction of HCF and LCF damage, CCB damage can be modified by adding a coupled damage (Han et al, 2019), as…”

Section: Proposed Nonlinear Fatigue Damage Accumulation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings

Yue

Zhou

et al. 2021

International Journal of Damage Mechanics

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“…Using the modified damage accumulation model and combining two sets of experimental data of typical aero‐engine materials, 32,45 the calculated ω and 1/ α are linearly correlated, as shown in Figure 4.…”

Section: Establishment Of the Ccf Damage Accumulation Modelmentioning

confidence: 99%

A modified damage accumulation model for life prediction of aero‐engine materials under combined high and low cycle fatigue loading

Bai

Huang

et al. 2021

Fatigue Fract Eng Mat Struct

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Aero-engine hot section components experience combined high and low cycle fatigue (CCF) loading under actual working conditions. This paper proposes a modified fatigue damage accumulation model to precisely predict lifetimes of aero-engine materials according to the newly presented interaction factor, which is able to quantitatively map damage interactions introduced by high cycle fatigue (HCF) and low cycle fatigue (LCF) loads. With the model, the lifetimes of four typical engine materials are predicted and compared to their factual data from experiments. The validation of the model is illustrated by a comprehensive comparison of the results concluded by the proposed model and that of other classical methodologies, which indicates that the new model holds the best performance in lifetime predictions. Moreover, an actual engineering case, which is the lifetime prediction of third stage turbine blades of an aero-engine, is completed to validate the feasibility of the proposed method.

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“…The reliability analysis of aero-engine blade was performed based on extreme response surface and finite element technique [11]. However, it is difficult to construct the reliability models of turbine blades experiencing low cycle fatigue (LCF) loads as well as high cycle fatigue (HCF) loads simultaneously, which leading to the combined high and low cycle fatigue (CCF) failure [12][13][14]. Accordingly, it is essential that the dynamic reliability models associated with load application times are proposed accounting for strength degradation under CCF loadings in this work.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Reliability Analysis of Turbine Blades Under Combined High and Low Cycle Loadings

Yue¹,

Bai²,

Ma³

et al. 2021

CRPASE

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Combined high and low cycle fatigue life prediction model based on damage mechanics and its application in determining the aluminized location of turbine blade

Cited by 43 publications

References 32 publications

Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings

Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings

A modified damage accumulation model for life prediction of aero‐engine materials under combined high and low cycle fatigue loading

Dynamic Reliability Analysis of Turbine Blades Under Combined High and Low Cycle Loadings

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