Advancing Inverse Sensitivity/Uncertainty Methods for Nuclear Fuel Cycle Applications
- ORNL
- North Carolina State University
The inverse sensitivity/uncertainty quantification (IS/UQ) method has recently been implemented in the Inverse Sensitivity/UnceRtainty Estimiator (INSURE) module of the AMPX system [1]. The IS/UQ method aims to quantify and prioritize the cross section measurements along with uncertainties needed to yield a given nuclear application(s) target response uncertainty, and doing this at a minimum cost. Since in some cases the extant uncertainties of the differential cross section data are already near the limits of the present-day state-of-the-art measurements, requiring significantly smaller uncertainties may be unrealistic. Therefore we have incorporated integral benchmark experiments (IBEs) data into the IS/UQ method using the generalized linear least-squares method, and have implemented it in the INSURE module. We show how the IS/UQ method could be applied to systematic and statistical uncertainties in a self-consistent way. We show how the IS/UQ method could be used to optimize uncertainties of IBEs and differential cross section data simultaneously.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 1185490
- Resource Relation:
- Conference: International Workshop on Nuclear Data Covariances (CW 2014), Santa Fe, NM, USA, 20140428, 20140501
- Country of Publication:
- United States
- Language:
- English
Similar Records
Uncertainty Quantification and Sensitivity Analysis for Coupled VERA-CS and FRAPCON
Hyper-Differential Sensitivity Analysis of Uncertain Parameters in PDE-Constrained Optimization