Under-Prediction of Localized Tally Uncertainties in Monte Carlo Eigenvalue Calculations
Description/Abstract
Modeling and simulation using Monte Carlo methods is widely used in nuclear reactor criticality benchmarking applications. However, obtaining good statistics not only takes a large amount of computational time, but it has been shown that localized tally uncertainties may be under-predicted by a factor of five or more in select cases. The primary components of this under-prediction include poor sampling due to improper source convergence and cycle-to-cycle correlations in the fission source. Additional components relate to the flux shape and the size of the tally cells. These issues must be understood and dealt with in order to support the practical use of modern Monte Carlo software packages.
| Creator/Author: | Mervin, Mervin Brenden [University of Tennessee, Knoxville (UTK)] ; Mosher, Scott W [ORNL] ; Wagner, John C [ORNL] ; Maldonado, G. Ivan [University of Tennessee, Knoxville (UTK)] |
|---|---|
| Publication Date: | 2011 Jan 01 |
| OSTI Identifier: | OSTI ID: 1029579 |
| DOE Contract Number: | DE-AC05-00OR22725 |
| Other Number(s): | TRN: US1105801 |
| Resource Type: | Conference |
| Resource Relation: | Conference: 2011 American Nuclear Society Annual Meeting, Hollywood, FL, USA, 20110626, 20110630 |
| Research Org: | Oak Ridge National Laboratory (ORNL) |
| Sponsoring Org: | USDOE |
| Subject: | 22 GENERAL STUDIES OF NUCLEAR REACTORS; CONVERGENCE; CRITICALITY; EIGENVALUES; FISSION; MONTE CARLO METHOD; REACTORS; SAMPLING; SHAPE; SIMULATION; STATISTICS |
| Country of Publication: | United States |
| Language: | English |
| Format: | Size: 329-330 |
| Update Date: | 2011 Dec 22 |
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