An EMRALD simulation is run repeatedly according to a value specified by the user. The results from these runs are gathered. For each repeated evaluation, any key end states in the current state list, along with the time paths for those states, is logged in the results. The compilation of these results allows us to determine the probability of any outcome with an uncertainty depending on the number of simulation runs. When using equivalent models with no time related items, the results from the state model evaluation converges on the same result as traditional PRA methods.
No complex convolution adjustments are needed for time based relationships; the state diagram run automatically takes this into account. EMRALD evaluation also allows the user to determine the average or mean time of a particular outcome, or provides data for statistical evaluation for critical failure time ranges.
