On Evaluation of Fracture Parameters in Statistical Fracture Mechanics

  • Boris I. Kunin
Conference paper


Statistical fracture mechanics includes models of both instantaneous and slow crack growth. The instantaneous crack growth models yield criteria of crack instability, the slow crack growth models result in probabilistic estimates of times to failure. A short reference to models both types is presented below. These models are not sufficiently ‘user friendly’ yet. In particular, an essential question of experimental evaluation of the fracture parameters introduced there appears to be buried in the formalism. In this paper, we list several non-conventional fracture parameters, their definitions, and some of the experimentally observable statistical distributions which contain them. Reference to “observable” (or ‘macroscopically observable’) distributions is necessary: the parameters reflect the microstructure of a material or the material’s resistance to crack growth on a microscale, consequently, the probability distributions in which they appear most immediately are not experimentally accessible. Various experimental setups are outlined together with statistical treatments of the data in order to evaluate these parameters. Some already performed experiments are mentioned.


Energy Release Rate Fracture Parameter Slow Crack Growth Crack Arrest Brownian Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Boris I. Kunin
    • 1
  1. 1.University of Alabama in HuntsvilleHuntsvilleUSA

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