A Nonlocal Stress/Strain Correction Method of Notched Areas for Turbine Blades Service Life Monitoring

  • Ruoqi Chen
  • , Rongqiao Wang
  • , Yan Zhao*
  • , Miaodong Zhao
  • , Dianyin Hu
  • , Quanzhong Wang
  • , Gao Zeng
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A nonlocal stress/strain approximation correction method based on Neuber's rule is proposed to achieve plastic correction of the linear elastic stress/strain state along the crack propagation path in the critical plane by ensuring the premise of force and moment balance. The method can quickly obtain the local stress and strain of the turbine blade notch during use. Based on the proposed method, combined with the low cycle fatigue (LCF) life prediction method based on the critical plane-critical distance, the LCF life of the notched part of the turbine blade can be predicted more accurately. The proposed method was validated using structural nonlinear finite element analysis (FEA) and experimental results for the blade tenon specimens subjected to LCF load. The comparison of computed and analyzed stress/strain revealed a good agreement. All predicted life values fall within a 3-factor scatter band when compared with the experimental life data.

Original languageEnglish
Title of host publication2024 8th International Conference on System Reliability and Safety, ICSRS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages714-719
Number of pages6
ISBN (Electronic)9798350354508
DOIs
StatePublished - 2024
Event8th International Conference on System Reliability and Safety, ICSRS 2024 - Sicily, Italy
Duration: 20 Nov 202422 Nov 2024

Publication series

Name2024 8th International Conference on System Reliability and Safety, ICSRS 2024

Conference

Conference8th International Conference on System Reliability and Safety, ICSRS 2024
Country/TerritoryItaly
CitySicily
Period20/11/2422/11/24

Keywords

  • Effective stress concentration factor
  • Life prediction
  • Stress/strain estimation
  • Turbine blade

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