skip to main content

DOE PAGESDOE PAGES

Title: A New Modeling Technique to Analyze Safeguards Measurements in Large Systems

SafeGuards Analysis (SGA) is a computational toolbox able to simulate different safeguards scenarios across a number of different fuel cycles and at many different scales within the Matlab Simulink framework. SGA functions by simulating Material Balance Areas (MBAs) under safeguards materials control and accountability and allows the user to define the uncertainty parameters of the associated flow and inventory measurements. The simulated safeguard system uses the uncertain measurement estimates to calculate a mass-balance across the MBA. This mass balance is then evaluated by one of a number of different statistical tests to determine if a significant amount of material has been removed from the MBA. This work describes the design of SGA, the results of testing each element of the toolbox, and a number of single MBA example scenarios. In all of the test cases SGA performed as expected, and produced acceptable results from the single MBA scenario.
Authors:
 [1] ; ORCiD logo [1]
  1. Colorado School of Mines, Golden, CO (United States). Nuclear Science and Engineering Program
Publication Date:
Grant/Contract Number:
NA0001730
Type:
Accepted Manuscript
Journal Name:
Nuclear Technology
Additional Journal Information:
Journal Volume: 199; Journal Issue: 2; Journal ID: ISSN 0029-5450
Publisher:
Taylor & Francis - formerly American Nuclear Society (ANS)
Research Org:
Colorado School of Mines, Golden, CO (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; Safeguards; modeling; uncertainty analysis
OSTI Identifier:
1461840

Shugart, Nicolas, and King, Jeffrey. A New Modeling Technique to Analyze Safeguards Measurements in Large Systems. United States: N. p., Web. doi:10.1080/00295450.2017.1334435.
Shugart, Nicolas, & King, Jeffrey. A New Modeling Technique to Analyze Safeguards Measurements in Large Systems. United States. doi:10.1080/00295450.2017.1334435.
Shugart, Nicolas, and King, Jeffrey. 2017. "A New Modeling Technique to Analyze Safeguards Measurements in Large Systems". United States. doi:10.1080/00295450.2017.1334435. https://www.osti.gov/servlets/purl/1461840.
@article{osti_1461840,
title = {A New Modeling Technique to Analyze Safeguards Measurements in Large Systems},
author = {Shugart, Nicolas and King, Jeffrey},
abstractNote = {SafeGuards Analysis (SGA) is a computational toolbox able to simulate different safeguards scenarios across a number of different fuel cycles and at many different scales within the Matlab Simulink framework. SGA functions by simulating Material Balance Areas (MBAs) under safeguards materials control and accountability and allows the user to define the uncertainty parameters of the associated flow and inventory measurements. The simulated safeguard system uses the uncertain measurement estimates to calculate a mass-balance across the MBA. This mass balance is then evaluated by one of a number of different statistical tests to determine if a significant amount of material has been removed from the MBA. This work describes the design of SGA, the results of testing each element of the toolbox, and a number of single MBA example scenarios. In all of the test cases SGA performed as expected, and produced acceptable results from the single MBA scenario.},
doi = {10.1080/00295450.2017.1334435},
journal = {Nuclear Technology},
number = 2,
volume = 199,
place = {United States},
year = {2017},
month = {8}
}