ASUSD nuclear data sensitivity and uncertainty program package: Validation on fusion and fission benchmark experiments Article Swipe
Bor Kos
,
Aljaž Čufar
,
I. Kodeli
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.net.2021.01.034
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.net.2021.01.034
Nuclear data (ND) sensitivity and uncertainty (S/U) quantification in shielding applications is performed using deterministic and probabilistic approaches. In this paper the validation of the newly developed deterministic program package ASUSD (ADVANTG + SUSD3D) is presented. ASUSD was developed with the aim of automating the process of ND S/U while retaining the computational efficiency of the deterministic approach to ND S/U analysis. The paper includes a detailed description of each of the programs contained within ASUSD, the computational workflow and validation results.ASUSD was validated on two shielding benchmark experiments from the Shielding Integral Benchmark Archive and Database (SINBAD) - the fission relevant ASPIS Iron 88 experiment and the fusion relevant Frascati Neutron Generator (FNG) Helium Cooled Pebble Bed (HCPB) Test Blanket Module (TBM) mock-up experiment. The validation process was performed in two stages. Firstly, the Denovo discrete ordinates transport solver was validated as a standalone solver. Secondly, the ASUSD program package as a whole was validated as a ND S/U analysis tool. Both stages of the validation process yielded excellent results, with a maximum difference of 17% in final uncertainties due to ND between ASUSD and the stochastic ND S/U approach. Based on these results, ASUSD has proven to be a user friendly and computationally efficient tool for deterministic ND S/U analysis of shielding geometries.
Related Topics
Concepts
Benchmark (surveying)
Blanket
Nuclear data
Solver
Sensitivity (control systems)
Neutron transport
Computer science
Electromagnetic shielding
Process (computing)
Uncertainty quantification
Nuclear engineering
Fission
Neutron
Reliability engineering
Simulation
Nuclear physics
Engineering
Physics
Programming language
Materials science
Machine learning
Electronic engineering
Electrical engineering
Geography
Composite material
Geodesy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.net.2021.01.034
- OA Status
- diamond
- Cited By
- 9
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3129789649
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3129789649Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.net.2021.01.034Digital Object Identifier
- Title
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ASUSD nuclear data sensitivity and uncertainty program package: Validation on fusion and fission benchmark experimentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-15Full publication date if available
- Authors
-
Bor Kos, Aljaž Čufar, I. KodeliList of authors in order
- Landing page
-
https://doi.org/10.1016/j.net.2021.01.034Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.net.2021.01.034Direct OA link when available
- Concepts
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Benchmark (surveying), Blanket, Nuclear data, Solver, Sensitivity (control systems), Neutron transport, Computer science, Electromagnetic shielding, Process (computing), Uncertainty quantification, Nuclear engineering, Fission, Neutron, Reliability engineering, Simulation, Nuclear physics, Engineering, Physics, Programming language, Materials science, Machine learning, Electronic engineering, Electrical engineering, Geography, Composite material, GeodesyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2023: 4, 2022: 2Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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