Dynamic fatigue reliability analysis of turbine blades under combined high and low cycle loadings
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fatigue and fracture mechanics · Probabilistic and Robust Engineering Design · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Center of Applied Mechanics, School of Electro-Mechanical Engineering, Xidian University, Xi’an, P. R. China
Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, USA
Funding
National Natural Science Foundation of China · National Defense Pre-Research Foundation of China · Fundamental Research Funds for the Central Universities
References (53)
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