On the statistical structure of fatigue crack growth data

J. Tang, T. J. Enneking, B F Spencer

Research output: Contribution to journalConference articlepeer-review

Abstract

In recent years, researchers have realized that fatigue crack growth is by nature a random phenomena and must be investigated using probabilistic methods. As a result, much attention has been devoted to developing and studying stochastic models of fatigue crack growth. In the work presented, the statistical structure of the fatigue crack growth data obtained by Virkler, et al. (1978) is investigated using a lognormal random process model in conjunction with three crack growth laws: Paris-Erdogan, hyperbolic sine and cubic polynomial. Estimation of the required parameters for each crack growth law are presented. A computationally efficient Petrov-Galerkin finite element method is used in the determination of the results.

Original languageEnglish (US)
Pages (from-to)67-74
Number of pages8
JournalAmerican Society of Mechanical Engineers, Applied Mechanics Division, AMD
Volume93
StatePublished - Dec 1 1988
Externally publishedYes
EventComputational Probabilistic Methods - Berkeley, CA, USA
Duration: Jun 20 1988Jun 22 1988

ASJC Scopus subject areas

  • Mechanical Engineering

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