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A mechanistically based approach to probability modeling for corrosion fatigue crack growth

✍ Scribed by D.G. Harlow; R.P. Wei


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
965 KB
Volume
45
Category
Article
ISSN
0013-7944

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✦ Synopsis


approach and methodology for developing a probability model for life prediction and its utility are demonstrated. The goal of this probabilistic approach is to make stochastically tight estimates of life for conditions that are beyond the range used in typical supporting data. Probability models, versus statistically based models, are used to describe the influences of fundamental variables through mechanistically based models of the failure processes. The efficacy of a probabilistic model, therefore, depends crucially upon the availability and quality of a mechanistically based model. The approach and methodology is illustrated through the use of a simplified model for reaction controlled corrosion fatigue crack growth for ferrous alloys in aqueous environments. The stochastic contributions from material properties and from the effects of environmental (electrochemical and thermal) and loading variables are assessed.