Sensitivity and uncertainty of the IFR-1 BISON benchmark

The fuel performance code BISON is being used to evaluate metallic for a new fast-spectrum test reactor called the Versatile Test Reactor, which considered adoption by US Department of Energy. To quantify accuracy predictions, researchers at Oak Ridge National Laboratory have been developing series benchmarks based on legacy experiments. As part this effort, sensitivity predictions variations in model inputs and uncertainties associated with must be established. This paper summarizes efforts perform comprehensive analysis (SA) uncertainty quantification (UQ) benchmark IFR-1 experiment. For SA, least one input was chosen from every physics module benchmark. were varied individually simulations. resulting normalized calculate sensitivities. These sensitivities then inform selections UQ. UQ performed using Monte Carlo method. A literature review conducted estimate distributions selected inputs, values sampled randomly each distribution Variations confidence intervals. It found that nearly 100% matched corresponding within However, partially because intervals wide. contributions assumptions benchmark, experimental uncertainties, models quantified. Some identify contributed uncertainties. Finally, recommendations are made future development.