Bulk Handling Facility Modeling and Simulation for Safeguards Analysis
The Separation and Safeguards Performance Model (SSPM) uses MATLAB/Simulink to provide a tool for safeguards analysis of bulk handling nuclear processing facilities. Models of aqueous and electrochemical reprocessing, enrichment, fuel fabrication, and molten salt reactor facilities have been develop...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Science and Technology of Nuclear Installations |
| Online Access: | http://dx.doi.org/10.1155/2018/3967621 |
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| _version_ | 1832560937463185408 |
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| author | Benjamin B. Cipiti Nathan Shoman |
| author_facet | Benjamin B. Cipiti Nathan Shoman |
| author_sort | Benjamin B. Cipiti |
| collection | DOAJ |
| description | The Separation and Safeguards Performance Model (SSPM) uses MATLAB/Simulink to provide a tool for safeguards analysis of bulk handling nuclear processing facilities. Models of aqueous and electrochemical reprocessing, enrichment, fuel fabrication, and molten salt reactor facilities have been developed to date. These models are used for designing the overall safeguards system, examining new safeguards approaches, virtually testing new measurement instrumentation, and analyzing diversion scenarios. The key metrics generated by the models include overall measurement uncertainty and detection probability for various material diversion or facility misuse scenarios. Safeguards modeling allows for rapid and cost-effective analysis for Safeguards by Design. The models are currently being used to explore alternative safeguards approaches, including more reliance on process monitoring data to reduce the need for destructive analysis that adds considerable burden to international safeguards. Machine learning techniques are being applied, but these techniques need large amounts of data for training and testing the algorithms. The SSPM can provide that training data. This paper will describe the SSPM and its use for applying both traditional nuclear material accountancy and newer machine learning options. |
| format | Article |
| id | doaj-art-34764852c705485e981cbcfe30cf5ff1 |
| institution | Kabale University |
| issn | 1687-6075 1687-6083 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Science and Technology of Nuclear Installations |
| spelling | doaj-art-34764852c705485e981cbcfe30cf5ff12025-02-03T01:26:20ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832018-01-01201810.1155/2018/39676213967621Bulk Handling Facility Modeling and Simulation for Safeguards AnalysisBenjamin B. Cipiti0Nathan Shoman1Sandia National Laboratories, Albuquerque, NM 87185, USASandia National Laboratories, Albuquerque, NM 87185, USAThe Separation and Safeguards Performance Model (SSPM) uses MATLAB/Simulink to provide a tool for safeguards analysis of bulk handling nuclear processing facilities. Models of aqueous and electrochemical reprocessing, enrichment, fuel fabrication, and molten salt reactor facilities have been developed to date. These models are used for designing the overall safeguards system, examining new safeguards approaches, virtually testing new measurement instrumentation, and analyzing diversion scenarios. The key metrics generated by the models include overall measurement uncertainty and detection probability for various material diversion or facility misuse scenarios. Safeguards modeling allows for rapid and cost-effective analysis for Safeguards by Design. The models are currently being used to explore alternative safeguards approaches, including more reliance on process monitoring data to reduce the need for destructive analysis that adds considerable burden to international safeguards. Machine learning techniques are being applied, but these techniques need large amounts of data for training and testing the algorithms. The SSPM can provide that training data. This paper will describe the SSPM and its use for applying both traditional nuclear material accountancy and newer machine learning options.http://dx.doi.org/10.1155/2018/3967621 |
| spellingShingle | Benjamin B. Cipiti Nathan Shoman Bulk Handling Facility Modeling and Simulation for Safeguards Analysis Science and Technology of Nuclear Installations |
| title | Bulk Handling Facility Modeling and Simulation for Safeguards Analysis |
| title_full | Bulk Handling Facility Modeling and Simulation for Safeguards Analysis |
| title_fullStr | Bulk Handling Facility Modeling and Simulation for Safeguards Analysis |
| title_full_unstemmed | Bulk Handling Facility Modeling and Simulation for Safeguards Analysis |
| title_short | Bulk Handling Facility Modeling and Simulation for Safeguards Analysis |
| title_sort | bulk handling facility modeling and simulation for safeguards analysis |
| url | http://dx.doi.org/10.1155/2018/3967621 |
| work_keys_str_mv | AT benjaminbcipiti bulkhandlingfacilitymodelingandsimulationforsafeguardsanalysis AT nathanshoman bulkhandlingfacilitymodelingandsimulationforsafeguardsanalysis |