NSTD Research Projects: TRP
TRP -> Campaign/Number -> TRP 41
TRP 41. Implementation of Uncertainty Propagation in TRITON/KENO (to support the Global Nuclear Energy
Partnership)
January 2008 - Current
Research Objectives & Methods
To enhance and expand the proper/informed use of Monte Carlo methods for 3-D depletion analyses, a graduate research assistant will develop and implement statistical uncertainty propagation in the TRITON/KENO sequence of SCALE. In particular, work will focus on development and implementation of an approach to determine the uncertainty in isotopic predictions based on the compound effects of multiple calculations (depletion time steps) with stochastic uncertainties in the spatial fluxes in each time step. Subsequently, an evaluation of the statistical uncertainties for an actual commercial used fuel sample will be performed to verify the implementation and develop a better understanding of the importance of statistical uncertainties in the prediction of isotopic compositions.
Researchers
- Charlotta Sanders, Mechanical Engineering
- Denis Beller, Mechanical Engineering
Collaborators
- Mark DeHart, Oak Ridge National Laboratory
Students
- Quentin Newell, PhD, Mechanical Engineering
- Tanya Sloma, MS, Materials & Nuclear Engineering
- Matthew Voegelle, Undergraduate, Mechanical Engineering