Inverse power law model for extrapolation of fatigue life curves

E. A. Azrulhisham, Dzuraidah Abd. Wahab, Shahrum Abdullah, N. Nikabdullah, Che Hassan Che Haron

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In view of increasing pressures of shortened development cycles and desire to save costs, inverse power law scaling has been devised for operative life estimation based on accelerated laboratory test data extrapolation. Derived from the Coffin-Manson's model of fatigue life, this analytical solution however is not capable in addressing probabilistic nature of fatigue. This paper is aimed to provide further insight into the operative life estimation based on parametric models derived from integration of inverse power law stress-life model and probabilistic fatigue life distributions. Maximum likelihood estimation is applied in deriving the parameters of the parametric models and the probabilistic fatigue life curves are obtained from reliability function of accelerated laboratory test data. PSN and PεN curves at operative life as well as any life region can be estimated based on inverse power law acceleration factors. The procedures presented in this study can be applied in estimating the probabilistic fatigue life curves at an accelerated pace resulting in shortened development cycles.

Original languageEnglish
JournalInternational Review of Mechanical Engineering
Volume6
Issue number3
Publication statusPublished - 2012

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Extrapolation
Fatigue of materials
Maximum likelihood estimation
Scaling laws
Costs

Keywords

  • Inverse power law
  • Maximum likelihood estimation
  • Operative life estimation
  • Probabilistic fatigue life curves

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Inverse power law model for extrapolation of fatigue life curves. / Azrulhisham, E. A.; Abd. Wahab, Dzuraidah; Abdullah, Shahrum; Nikabdullah, N.; Che Haron, Che Hassan.

In: International Review of Mechanical Engineering, Vol. 6, No. 3, 2012.

Research output: Contribution to journalArticle

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