RESEARCH PAPER
Fatigue strength reliability assessment of turbo-fan blades by Kriging-based distributed collaborative response surface method
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1
School of Mechanical Engineering Shanghai Jiao Tong University Shanghai, China Energy Department, Politecnico di Milano, Italy
2
School of Mechanical Engineering Shanghai Jiao Tong University Shanghai, China.
3
Energy Department, Politecnico di Milano Milano, Italy MINES ParisTech, PSL Research University, CRC Sophia Antipolis, France
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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
KEYWORDS
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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