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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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Propagation of radiation source uncertainties in spent fuel cask shielding calculations

Author(s)
Ebiwonjumi, BamideleMai, Nhan Nguyen TrongLee, Hyun ChulLee, Deokjung
Issued Date
2022-08
DOI
10.1016/j.net.2022.03.001
URI
https://scholarworks.unist.ac.kr/handle/201301/60187
Fulltext
https://www.sciencedirect.com/science/article/pii/S1738573322001012?via%3Dihub
Citation
NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.8, pp.3073 - 3084
Abstract
The propagation of radiation source uncertainties in spent nuclear fuel (SNF) cask shielding calculations is presented in this paper. The uncertainty propagation employs the depletion and source term outputs of the deterministic code STREAM as input to the transport simulation of the Monte Carlo (MC) codes MCS and MCNP6. The uncertainties of dose rate coming from two sources: nuclear data and modeling parameters, are quantified. The nuclear data uncertainties are obtained from the stochastic sampling of the cross-section covariance and perturbed fission product yields. Uncertainties induced by perturbed modeling parameters consider the design parameters and operating conditions. Uncertainties coming from the two sources result in perturbed depleted nuclide inventories and radiation source terms which are then propagated to the dose rate on the cask surface. The uncertainty analysis results show that the neutron and secondary photon dose have uncertainties which are dominated by the cross section and modeling parameters, while the fission yields have relatively insignificant effect. Besides, the primary photon dose is mostly influenced by the fission yield and modeling parameters, while the cross-section data have a relatively negligible effect. Moreover, the neutron, secondary photon, and primary photon dose can have uncertainties up to about 13%, 14%, and 6%, respectively.
Publisher
Korean Nuclear Society
ISSN
1738-5733
Keyword (Author)
STREAMUncertainty quantificationMonte Carlo shieldingSpent nuclear fuelStochastic sampling
Keyword
CARLO CODE MCSNUCLEAR-DATAANALYSIS CAPABILITIESVARIANCE REDUCTIONVALIDATIONVERIFICATIONDEPLETION

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