Power-exponent function model for low-cycle fatigue life prediction and its applications – Part II: Life prediction of turbine blades under creep–fatigue interaction

Chen, Lijie; Liu, Yinghua; Xie, Liyang

doi:10.1016/j.ijfatigue.2006.03.005

Cited by 38 publications

(14 citation statements)

References 11 publications

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“…In practice, LCF analysis of HPT discs is performed by using deterministic approaches based on small sample tests. However, researches in Chen et al, Booysen et al, and Hudak et al pointed out that the variability of engine component usages might result into more than 6 times of the variability in fatigue life and even 100 times more variability in the failure probability at a given life. Thus, systematically dealing with multiple sources of uncertainty in fatigue significantly affects the performance in defining morphology and material of engine components, as well as the robustness of fatigue design.…”

Section: Introductionmentioning

confidence: 99%

Fatigue reliability assessment of turbine discs under multi‐source uncertainties

Zhu

Liu

Zhou

et al. 2018

Fatigue Fract Eng Mat Struct

176

100

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Hot section components of aircraft engines like high pressure turbine (HPT) discs usually operate under complex loadings coupled with multi‐source uncertainties. The effect of these uncertainties on structural response of HPT discs should be accounted for its fatigue life and reliability assessment. In this study, a probabilistic framework for fatigue reliability analysis is established by incorporating FE simulations with Latin hypercube sampling to quantify the influence of material variability and load variations. Particularly, variability in material response is characterized by combining the Chaboche constitutive model with Fatemi‐Socie criterion. Results from fatigue reliability and sensitivity analysis of a HPT disc indicated that dispersions of basic variables {},,ρω1σf′ must be taken into account for its fatigue reliability analysis. Moreover, the proposed framework based on the strength‐damage interference provides more reasonably correlations with its field number of flights rather than the load‐life interference one.

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Section: Introductionmentioning

confidence: 99%

Fatigue reliability assessment of turbine discs under multi‐source uncertainties

Zhu

Liu

Zhou

et al. 2018

Fatigue Fract Eng Mat Struct

176

100

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“…They are subjected to transient thermal, centrifugal, and aerodynamic loadings. According to partial statistics data, rotational parts failure accounts for above 80% in all kinds of fracture failure, including turbine disks, blades, and shafts . It is necessary to carry out 2 steps to ensure that the useful lives of critical components are not exceeded.…”

Section: Introductionmentioning

confidence: 99%

“…It was not accurate enough to evaluate the fatigue life and mechanical behavior of a component with complex geometry through these test results. The numerical method for durability life prediction of turbine blades had its own limitations, such as the initial defects, surface integrity, and inclusions were hard to be considered . LCF‐creep experiments of full‐scale turbine blades were ideal enough to overcome the shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Accelerated LCF‐creep experimental methodology for durability life evaluation of turbine blade

Shi

Yang

et al. 2018

Fatigue Fract Eng Mat Struct

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This paper proposes an accelerated low cycle fatigue (LCF)‐creep experimental methodology in laboratory to investigate the durability life of turbine blades. A typical mission profile of the turbine blade was obtained by means of rain flow counting method, considering both the actual flight condition and ground test data. Finite element analysis (FEA) was conducted to obtain the stress and temperature fields of turbine blade. A test system was constructed to conduct LCF‐creep experiments of turbine blades, simulating the stress and temperature distributions of critical section properly. LCF‐creep experiments of full‐scale turbine blades were performed under a trapezoidal loading spectrum. Experiment results showed that the durability life of turbine blade based on numerical method was longer than that based on this experimental methodology, even an order of magnitude. Furthermore, this experimental methodology helped to extend the service life of this blade safely, and its validity was verified in actual service condition.

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“…Various methods for predicting the fatigue life of turbine blades have been established [15][16][17]29] along with comparative studies between the various methods [19]. Application of blade life estimation has traditionally been performed using deterministic models which often require overly conservative assumptions.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approach

Booysen

Heyns

Hindley

et al. 2015

International Journal of Fatigue

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Power-exponent function model for low-cycle fatigue life prediction and its applications – Part II: Life prediction of turbine blades under creep–fatigue interaction

Cited by 38 publications

References 11 publications

Fatigue reliability assessment of turbine discs under multi‐source uncertainties

Fatigue reliability assessment of turbine discs under multi‐source uncertainties

Accelerated LCF‐creep experimental methodology for durability life evaluation of turbine blade

Fatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approach

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