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

Peng Yue, Juan Ma, Changhu Zhou, Jean W. Zu, Baoquan Shi

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish
Pages (from-to)825-844
Number of pages20
JournalInternational Journal of Damage Mechanics
Volume30
Issue number6
DOIs
StatePublished - Jun 2021

Keywords

  • Combined high and low cycle fatigue
  • fatigue damage
  • life prediction
  • load interaction
  • reliability modeling

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