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dc.contributor.authorRemedes, Tyler J.;Ramsey, Scott D.;Baciak, James E.
dc.date.accessioned2022-12-27T23:21:36Z
dc.date.available2022-12-27T23:21:36Z
dc.date.copyright8/3/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn2377-2158
dc.identifier.othervvuq_007_03_031002.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288463
dc.description.abstractNuclear science and engineering is a field increasingly dominated by computational studies resulting from increasingly powerful computational tools. As a result, analytical studies, which previously pioneered nuclear engineering, are increasingly viewed as secondary or unnecessary. However, analytical solutions to reduced-fidelity models can provide important information concerning the underlying physics of a problem and aid in guiding computational studies. Similarly, there is increased interest in sensitivity analysis studies. These studies commonly use computational tools. However, providing a complementary sensitivity study of relevant analytical models can lead to a deeper analysis of a problem. This work provides the analytical sensitivity analysis of the one-dimensional (1D) cylindrical mono-energetic neutron diffusion equation using the forward sensitivity analysis procedure (FSAP) developed by Cacuci. Further, these results are applied to a reduced-fidelity model of a spent nuclear fuel cask, demonstrating how computational analysis might be improved with a complementary analytic sensitivity analysis.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleAnalytical Sensitivity Analysis of a Spent Nuclear Fuel Cask
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue3
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4055013
dc.journal.fristpage31002
dc.journal.lastpage31002_21
dc.page21
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2022:;volume( 007 ):;issue: 003
dc.contenttypeFulltext


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