Proceedings of the

The 33rd European Safety and Reliability Conference (ESREL 2023)
3 – 8 September 2023, Southampton, UK

Life Prediction of an Aero-Engine Turbine Shaft Considering the Fracture of Sealing Labyrinth

Song Baia, Tudi Huangb, Yan-Feng Lic, Ning Lud and Hong-Zhong Huange

School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan, China


Combined high and low cycle fatigue (CCF) loading has a significant impact on the fatigue strength of aero-engine hot section components. Aiming at the fracture of a turbine shaft under CCF loading in the actual fatigue test, this study proposes a CCF life prediction method considering interaction damage to more accurately assess the fatigue life of the shaft. Under the procedure of the proposed method, the turbine shaft is firstly analyzed through finite element analysis (FEA), then the pure low cycle fatigue (LCF) life and high cycle fatigue (HCF) life are predicted by traditional life prediction models based on simulation data, respectively. Finally, using a damage accumulation model considering interaction damage, the CCF life of the turbine shaft is predicted, which is quite approximate to the actual test data. What's more, the proposed method is verified to have higher accuracy compared with traditional life prediction models due to its full consideration of CCF loading characteristics and interaction damage. The proposed method is quite suitable for the turbine shaft, and provides a new idea for aero-engine components' CCF life prediction.

Keywords: CCF loading, Damage accumulation, Fatigue life prediction, Turbine shaft.

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