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Role of third order statistics in discriminating among models of fatigue crack growth in metals

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Abstract

Fatigue crack growth is looked upon as an irreversible nondecreasing stochastic process. The suitability of several well-known distributions for describing the time for a crack to progress a specified amount is discussed relative to the coefficient of skewness. Based upon available data, it is shown that “weakest link” distributions that have appeared in the literature are not suitable. Further, it is demonstrated that to the contrary, “strongest link” distributions are consistent with the data. Finally, implications for stochastic models of fatigue crack growth are discussed.

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Authors and Affiliations

  1. Polytechnic Institute of New York, Route 110, 11735, Farmingdale, NY

    F. Kozin (Professor of Systems)

  2. School of Aeronautics and Astronautics, Purdue University, 47907, West Lafayette, IN

    J. L. Bogdanoff (Professor Emeritus)

Authors
  1. F. Kozin
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  2. J. L. Bogdanoff
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Additional information

This paper is based on a presentation made at the symposium “Stochastic Aspects of Fracture” held at the 1986 annual AIME meeting in New Orleans, LA, on March 2-6, 1986, under the auspices of the ASM/MSD Flow and Fracture Committee.

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Kozin, F., Bogdanoff, J.L. Role of third order statistics in discriminating among models of fatigue crack growth in metals. Metall Trans A 18, 1855–1859 (1987). https://doi.org/10.1007/BF02647015

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