Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings

Author:

Yue Peng1ORCID,Ma Juan1,Zhou Changhu1,Zu Jean W2,Shi Baoquan1

Affiliation:

1. Research Center of Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, Xi’an, P. R. China

2. Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, USA

Abstract

Establishment of damage accumulation models for reflecting the combined damage mechanism on the fatigue behavior of aero-engine turbine blades is crucial for their safety. In this work, a novel combined high and low cycle fatigue (CCF) life prediction methodology is presented as a basis of that to consider the interaction between low and high cycle fatigues. Accordingly, a dynamic reliability model is proposed to study the operational reliability of turbine blades under CCF loadings. Moreover, experimental data of materials along with the collected field data from the actual turbine blades are applied to validate the CCF life prediction model and the dynamic reliability model. The validation of the results is conducted by a comparison analysis, which indicates that the proposed life prediction method yields better accuracy, while the dynamic reliability model is proved to be more in line with the outcomes derived by the Monte Carlo simulation.

Funder

National Natural Science Foundation of China

National Defense Pre-Research Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Computational Mechanics

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