Development of a statistical sampling method for uncertainty analysis with SCALE

Conference · Sun Jul 01 00:00:00 EDT 2012

OSTI ID:22105776

Williams, M.; Wiarda, D.; Smith, H.; Jessee, M. A.; Rearden, B. T. ^[1]; Zwermann, W.; Klein, M.; Pautz, A.; Krzykacz-Hausmann, B.; Gallner, L. ^[2]

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1. Oak Ridge National Laboratory, P.O Box 2008, Oak Ridge, TN 37831-6354 (United States)
2. Gesellschaft fuer Anlagen- und Reaktorsicherheit GRS, Forschungszentrum, Boltzmannstrasse 14, 85748 Garching (Germany)

A new statistical sampling sequence called Sampler has been developed for the SCALE code system. Random values for the input multigroup cross sections are determined by using the XSUSA program to sample uncertainty data provided in the SCALE covariance library. Using these samples, Sampler computes perturbed self-shielded cross sections and propagates the perturbed nuclear data through any specified SCALE analysis sequence, including those for criticality safety, lattice physics with depletion, and shielding calculations. Statistical analysis of the output distributions provides uncertainties and correlations in the desired responses. (authors)

• Research Organization: American Nuclear Society, Inc., 555 N. Kensington Avenue, La Grange Park, Illinois 60526 (United States)
• OSTI ID: 22105776
• Resource Relation: Conference: PHYSOR 2012: Conference on Advances in Reactor Physics - Linking Research, Industry, and Education, Knoxville, TN (United States), 15-20 Apr 2012; Other Information: Country of input: France; 7 refs.
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
97 MATHEMATICAL METHODS AND COMPUTING
COMPUTER CODES
CRITICALITY
CROSS SECTIONS
DATA COVARIANCES
RANDOMNESS
REACTOR SAFETY
SAMPLERS
SAMPLING
SHIELDING
STATISTICS