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Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method
Wei Ma 4
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School of Mechanical Engineering Shanghai Jiao Tong University Shanghai, China Energy Department, Politecnico di Milano, Italy
School of Mechanical Engineering Shanghai Jiao Tong University Shanghai, China.
Energy Department, Politecnico di Milano Milano, Italy MINES ParisTech, PSL Research University, CRC Sophia Antipolis, France
School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai, China
Publication date: 2019-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(3):530–538
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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