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Title: Uncertainty Quantification Study of CTF for the OECD/NEA LWR Uncertainty Analysis in Modeling Benchmark

Journal Article · · Nuclear Science and Engineering
ORCiD logo [1]; ORCiD logo [1];  [2]
  1. North Carolina State Univ., Raleigh, NC (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
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This work describes the results of a quantitative uncertainty analysis of the thermal-hydraulic subchannel code for nuclear engineering applications, Coolant Boiling in Rod Arrays-Three Field (COBRA-TF). CTF is used, which is a version of COBRA-TF developed in cooperation between the Consortium for Advanced Simulation of Light Water Reactors and North Carolina State University. Four steady-state cases from Phase II Exercise 3 of the Organisation for Economic Co-operation and Development/Nuclear Energy Agency Light Water Reactor Uncertainty Analysis in Modeling (UAM) Benchmark are analyzed using the statistical analysis tool, Design Analysis Kit for Optimization and Terascale Applications (Dakota). The input parameters include boundary condition, geometry, and modeling uncertainties, which are selected using a sensitivity study and then defined based on expert judgment. Here, a forward uncertainty quantification method with Latin hypercube sampling (LHS) is used, where the sample size is based on available computational resources.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1496638
Report Number(s):
SAND--2019-0961J; {"Journal ID: ISSN 0029-5639",671938}
Journal Information:
Nuclear Science and Engineering, Journal Name: Nuclear Science and Engineering Journal Issue: 3 Vol. 190; ISSN 0029-5639
Publisher:
American Nuclear Society - Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English

References (10)

Linear statistical inference and its applications journal September 1966
Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence journal January 2013
Factorial Sampling Plans for Preliminary Computational Experiments journal May 1991
Linear Statistical Inference and its Applications. journal December 1966
Bootstrap Methods: Another Look at the Jackknife book January 1992
Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions journal December 1994
Factorial Sampling Plans for Preliminary Computational Experiments journal May 1991
Bootstrap Methods: Another Look at the Jackknife journal January 1979
Determination of Sample Sizes for Setting Tolerance Limits journal March 1941
Linear Statistical Inference and its Applications. journal September 1975

Cited By (1)

Uncertainty Quantification and Propagation of Multiphysics Simulation of the Pressurized Water Reactor Core journal March 2019

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Related Subjects

42
Organization for Economic Co-operation and Development/Nuclear Energy Agency Light Water Reactor Uncertainty Analysis in Modeling Benchmark
thermal hydraulics
CTF