Field damage data analysis and probabilistic fatigue life assessment of turbine components

Kazunari Fujiyama, Keisuke Takaki, Yujiro Nakatani, Yomei Yoshioka, Yoshiyasu Itoh

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


A methodology is presented for performing probabilistic life assessment for individual parts based on statistical damage analysis and stochastic damage simulation analysis of actual turbine components. Examples are shown for thermomechanical fatigue(TMF) damage of gas turbine nozzles and steam pipes. TMF damage is multiple cracking and damage parameters are maximum crack length and crack length density. Applying the experimental damage parameters vs. cycle ratio relationships to the field crack data of individual parts, specific crack growth trend curves are derived as well as parts service conditions such as plastic strainrange. Using parts service conditions and stochastic damage evolution law of materials, Monte-Carlo damage simulation analysis is performed. The simulation analysis is the useful tool for the probabilistic life prediction for individual parts and for risk-based maintenance and repair/replace judgement.

Original languageEnglish
Pages (from-to)134-139
Number of pages6
JournalMaterials Science Research International
Issue number3 SPEC.
Publication statusPublished - 2002 Sept 1
Externally publishedYes


  • Cracks
  • Damage
  • Gas turbine
  • Probabilistic life assessment
  • Simulation
  • Statistics
  • Steam pipe
  • TMF

ASJC Scopus subject areas

  • Materials Science(all)


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