b'Figure 3. Comparison of PCTs.The assessment of uncertainty for accident analysis informs ATF designers in a systematic and quantitative fashion how each fuel parameter will impact the figure-of-merit used in comparing performance of different design options and can focus property measurements to improve steady-state andThus, the SA informs the designersparameters were assumed to have accident performances. where to focus their efforts to refinenormal distribution with lower and design parameters that have theupper bounds and a defined standard biggest impact on the outcome ofdeviation. DAKOTA first sampled an accident. Applying UQ and SA to(Monte-Carlo or Latin Hypercube) the accident analysis helps stakeholders, thesix prescribed sensitivity parameters Advanced Fuels Campaign (AFC) andand generated sets of variates for industry, formulate areas of researchthe sensitivity parameters. The sets that are most beneficial to the safetyof variates were then used by SNAP performance of different ATF concepts. to generate input for the parametric Accomplishments:cases.After completing the steady-A loss of offsite power (LOOP)state run for each sampled case a accident for a PWR with standardTRACE restart run was conducted for fuel (UO 2pellet and Zr cladding)the transient calculation. The final was used to demonstrate the UQ/ step was to pass on the FOM (in SA exercise. The analysis consideredthis analysis the PCT) for DAKOTA six (6) model sensitivity parametersto perform the UQ/SA analysis. The that are related to fuel performanceSNAP UQ job stream that automated in an accident. They are corethe interface between DAKOTA and power, fuel gap conductance, fuelTRACE is shown in Figure 1.thermal conductivity, clad thermalBased on the first-order Wilks formula, conductivity, clad specific heat anda minimum of 59 parametric cases fuel specific heat. The FOM chosen foris required to quantify the 95/95 this analysis was the PCT. All sensitivityone-sided tolerance limit for the 154 2019|AFC ACCOMPLISHMENTS'