A probability approach for life prediction is developed and illustrate
d through a simplified model for the pitting corrosion and corrosion f
atigue crack growth in aluminum alloys in aqueous environments. A meth
od for estimation of the cumulative distribution function (CDF) for th
e lifetime is demonstrated by using an assumed CDF for each key random
variable (RV). The basic aim of this approach is to make predictions
for the lifetime, reliability, and durability beyond the range of typi
cal data by integrating the CDFs of the individual RVs into a mechanis
tically based model. The contribution of each key RV is considered, an
d its significance is assessed. Thus, the usefulness of probability-ba
sed modeling is demonstrated. It is noted that physically realistic pa
rameters were assumed for the illustrations. As such, the results from
analysis of the model qualitatively agree quite well with experimenta
l observations. However, these results should not be construed to repr
esent behavior in actual systems. Because of these assumptions, confid
ence levels for the predictions are not addressed.