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Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method

Abstract : Fatigue crack propagation affects the operational reliability of engine turbo-fan blades. In this article, we integrate a Kriging regression model and a distributed collaborative response surface method (DCRSM) for the reliability assessment of turbo-fan blades, considering the relevant uncertainty. Following a series of deterministic analyses, such as steady-state aerodynamic analysis, harmonic response analysis and Campbell diagram, and based on the assumption that vibration stress is mainly from aerodynamic load, the fatigue strength is calculated for turbo-fan blades under coupling aerodynamic forces, according to a modified Goodman curve of titanium-alloy. Giving consideration to the uncertainty of the resonance frequencies and material properties, the fatigue strength of the turbo-fan blade is evaluated, including probabilistic analysis and sensitivity analysis. In the case study analyzed, the conclusions are that the fatigue strength reliability reaches 96.808% with confidence level of 0.95 for the turbo-fan blade under the coupling aerodynamic forces, and the first three-order resonant frequencies are found to have important influence on the fatigue performance of turbo-fan blades.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-02433490
Contributeur : Magalie Prudon <>
Soumis le : jeudi 9 janvier 2020 - 10:39:34
Dernière modification le : jeudi 24 septembre 2020 - 17:20:28

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Hai-Feng Gao, Anjenq Wang, Enrico Zio, Wei Ma. Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method. Ekspolatacja i Niezawodnosc - Maintenance and Reliability, 2019, 21 (3), pp.530-538. ⟨10.17531/ein.2019.3.20⟩. ⟨hal-02433490⟩

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