Probabilistic Analysis of the Ghonem and Dore Databy J. Tang, Univ of Notre Dame, United States,
T. J. Enneking, Univ of Notre Dame, United States,
B. F. Spencer, Jr., Univ of Notre Dame, United States,
Abstract: A two-state Markov process model for fatigue crack growth is utilized with experimental fatigue crack growth data reported by H. Ghonem and S. Dore to study the effect of stress ratio on fatigue crack growth. Several fatigue crack growth laws including modified Paris and cubic laws are considered in this study. Although higher moments are not satisfactorily modeled when using a single parameter set predictive model, the calculated means do compare well with the data. Additional experimental data is required to further verify model improvement.
Subject Headings: Data processing | Cracking | Mathematical models | Probability | Data analysis | Materials processing | Model tests | Fatigue (material) | Material tests | Markov process | Paris | France | Europe
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