For more than two decades, risk analysts have relied on powerful logic-based models to perform their analyses. However, the applicability of these models has been limited because they can be complex and expensive to develop. Analysts must frequently start from scratch when analyzing a new (but...

Event tree analysis and Monte Carlo-based discrete event simulation have been used in risk assessment studies for many years. This report details how features of these two methods can be combined with concepts from object-oriented analysis to develop a new risk assessment methodology with some...

This paper describes statistical software developed at the Savannah River Site (SRS) to analyze event time of occurrence data extracted from fault tree data banks and/or user defined input data files. Five different distributions can currently be fit to the empirical data: normal, lognormal,...