Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation
Abstract
There is a great need in the safeguards community to be able to nondestructively quantify the mass of plutonium of a spent nuclear fuel assembly. As part of the Next Generation of Safeguards Initiative, we are investigating several techniques, or detector systems, which, when integrated, will be capable of quantifying the plutonium mass of a spent fuel assembly without dismantling the assembly. This paper reports on the simulation of one of these techniques, the Passive Neutron Albedo Reactivity with Fission Chambers (PNAR-FC) system. The response of this system over a wide range of spent fuel assemblies with different burnup, initial enrichment, and cooling time characteristics is shown. A Monte Carlo method of using these modeled results to estimate the fissile content of a spent fuel assembly has been developed. A few numerical simulations of using this method are shown. Finally, additional developments still needed and being worked on are discussed.
- Authors:
- Los Alamos National Laboratory
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1036731
- Report Number(s):
- LA-UR-10-06933; LA-UR-10-6933
TRN: US1201467
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Conference
- Resource Relation:
- Conference: International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering ; May 8, 2011 ; Rio de Janeiro, Brazil
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; ALBEDO; BURNUP; COOLING TIME; FISSION CHAMBERS; MONTE CARLO METHOD; NEUTRONS; NUCLEAR FUELS; PLUTONIUM; SAFEGUARDS; SIMULATION; SPENT FUELS
Citation Formats
Conlin, Jeremy Lloyd, and Tobin, Stephen J. Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation. United States: N. p., 2010.
Web.
Conlin, Jeremy Lloyd, & Tobin, Stephen J. Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation. United States.
Conlin, Jeremy Lloyd, and Tobin, Stephen J. Wed .
"Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation". United States.
doi:. https://www.osti.gov/servlets/purl/1036731.
@article{osti_1036731,
title = {Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation},
author = {Conlin, Jeremy Lloyd and Tobin, Stephen J},
abstractNote = {There is a great need in the safeguards community to be able to nondestructively quantify the mass of plutonium of a spent nuclear fuel assembly. As part of the Next Generation of Safeguards Initiative, we are investigating several techniques, or detector systems, which, when integrated, will be capable of quantifying the plutonium mass of a spent fuel assembly without dismantling the assembly. This paper reports on the simulation of one of these techniques, the Passive Neutron Albedo Reactivity with Fission Chambers (PNAR-FC) system. The response of this system over a wide range of spent fuel assemblies with different burnup, initial enrichment, and cooling time characteristics is shown. A Monte Carlo method of using these modeled results to estimate the fissile content of a spent fuel assembly has been developed. A few numerical simulations of using this method are shown. Finally, additional developments still needed and being worked on are discussed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 13 00:00:00 EDT 2010},
month = {Wed Oct 13 00:00:00 EDT 2010}
}
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