Time-Dependent Sensitivity Analysis of OECD Benchmark using BISON and RAVEN

Journal Article · Fri Jul 01 04:00:00 EDT 2016 · Transactions of the American Nuclear Society

OSTI ID:23042670

Talbot, Paul W. ^[1]; Gamble, Kyle ^[2]; Rabiti, C.; Wang, C.; Alfonsi, A.; Cogliati, J. J.; Mandelli, D. ^[3]; Prinja, A. K. ^[1]

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1. Department of Nuclear Engineering, University of New Mexico, Albuquerque, NM, 87131 (United States)
2. Fuel Modeling and Simulation, Idaho National Laboratory, Idaho Falls, ID, 83415 (United States)
3. Nuclear Engineering Methods Development, Idaho National Laboratory, Idaho Falls, ID, 83415 (United States)

Developments in uncertainty quantification for nuclear simulations have decreased the computational cost required to perform accurate sensitivity analysis. This work demonstrates implementation of these methods in the RAVEN framework, allowing for time-dependent sensitivity analysis. By demonstration we consider an OECD benchmark case. We propagate uncertainties using RAVEN operating on the BISON fuels performance code. We then consider the time-evolution of output response sensitivity to uncertain inputs. We perform sensitivity analysis using time-based stochastic collocation for generalized polynomial chaos (SCgPC) and high-dimension model reduction (HDMR). While uncertainty quantification applied to end-of-cycle statistics is useful, we demonstrate that dominant sources of uncertainty for figures of merit may fluctuate throughout the simulation. Time-dependent sensitivity analysis allows more insight on key design parameters for fuel. (authors)

• OSTI ID: 23042670
• Journal Information: Transactions of the American Nuclear Society, Journal Name: Transactions of the American Nuclear Society Vol. 115; ISSN 0003-018X
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
97 MATHEMATICS AND COMPUTING
BENCHMARKS
CHAOS THEORY
COMPUTERIZED SIMULATION
IMPLEMENTATION
NUCLEAR FUELS
PERFORMANCE
SENSITIVITY ANALYSIS
STOCHASTIC PROCESSES
TIME DEPENDENCE