Abstract
Repeat data on a Ti-6246 alloy at 773 K and 580 MPa provided a unique opportunity to identify stochastic creep properties and to use this information to build a probabilistic creep damage assessment for this alloy. The stochastic nature of creep properties both under a single test condition (using a generalised gamma distribution) and under various test conditions (by combining this distribution with the Monkman–Grant relationship) were identified. Under the single test condition log failure times had a distribution skewed to the right and log minimum creep rates had a distribution skewed to the left. Over various test conditions a failure time distribution similar to the Weibull distribution was most supported by the data. The observed log time to failure at 480 MPa was well within the extrapolated 95% confidence limits obtained from the Monkman–Grant model. Uncertainty about the exact distributional form increased this 95% confidence limit.
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