A Bayesian tolerance interval estimation method for fatigue strength substantiation of rotorcraft dynamic components

Sam Dekker, G. Wurzel, Rene Alderliesten

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Rotorcraft have many safety-critical components that are subject to repetitive loading and whose predicted fatigue life is substantiated by a statistically derived reduction factor for a working S-N curve. For cases where the statistical analysis must be performed based on very few samples, or even none at all, commonly used frequentist statistics are demonstrated to be inadequate. As an alternative, the value of Bayesian statistics is exemplified using real data and a simplified fatigue life substantiation model from industry. The case study exemplifies how well-established industry practise can be substantiated by traceable and explicit statistical analysis. It is thus exemplified how Bayesian statistics can reduce the number of critical engineering assumptions in fatigue life substantiation, or make them more explicit and traceable
Original languageEnglish
Pages (from-to)333–344
JournalInternational Journal of Fatigue
Volume92
Issue number1
Publication statusPublished - 2016

Keywords

  • Working curve
  • Reduction factor
  • Fatigue strength substantiation
  • Bayesian statistics
  • Rotorcraft

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