Reliability analyses are proposed for the life prediction of fatigue sensitive components. In essence, the models are based upon the recently developed McGill-Markov and closure-lognormal stochastic processes. Not only do these models have the capacity of predicting the statistical dispersion of crack growth, they also, by incorporating the concept of crack closure, have the capability of transferring stochastic fatigue properties, measured under ideal laboratory conditions, to situations of industrial significance, such as those occurring under adverse loading and/or environmental conditions. The primary data required for an estimation of the pertinent parameters governing these stochastic models are obtained from a statistically significant number of replicate tests. Both the theory and experimental technique are illustrated using a Ti-6Al-4V alloy of considerable importance to the aerospace industry. Finally, the application of these models to the assessment of structural integrity and component reliability is detailed in this paper.
A stochastic systems approach to fatigue reliability - an application to Ti-6Al-4V
Eine Näherung im Rahmen des stochastischen Systems für die Ermüdungszuverlässigkeit - Anwendung auf Ti-6Al-4V
Engineering Fracture Mechanics ; 53 , 5 ; 687-706
1996
20 Seiten, 13 Bilder, 4 Tabellen, 40 Quellen
Aufsatz (Zeitschrift)
Englisch
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