Objective Comparison of Fatigue Crack Growth Laws

by Chieh J. Kung, Univ of Arizona, United States,
Keith Ortiz, Univ of Arizona, United States,

Abstract: This paper presents objective criteria for choosing between different fatigue crack growth laws to represent a material's fatigue behavior based on a data set containing multiple records of crack growth. The selection criteria are based on a stochastic model of fatigue crack growth resistance and on the time series analysis of fatigue crack growth rate data. An example is presented comparing the performance of four well-known FCGL's and polynomial expressions to represent the well-known replicate data set generated by D.A. Virkler, P.M. Hillberry and B.L. Goel. The results show that a cubic polynomial equation is most preferable.

Subject Headings: Cracking | Fatigue (material) | Data analysis | Stochastic processes | Data processing | Load and resistance factor design | Polynomials

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