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DOE OSTI · 2572737

Framework development for a SAVY-4000 nuclear material storage container structural integrity surveillance tool

Hafen, Joseph Dean [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Mississippi, Oxford, MS (United States)] (ORCID:0009000611757000)·Teague, Jonathan Gayle [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000317039262)·Fleming, Brandon Garrett [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Ruthstrom, Justin Travis [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Moore, Murray E. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000171233117)·Lukow, Steven Douglas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000354363181)·Suazo, Julio Cesar [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000896227117)·Grow, David Issac [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000241597742)·Choudhury, Samrat [Univ. of Mississippi, Oxford, MS (United States)]·Gigax, Jonathan Gregory [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000204566066)
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Abstract

Here, this work presents the preliminary design of an automated surveillance tool to assess the health of SAVY-4000 nuclear material storage containers. This tool is designed by training several machine learning (ML) regression models to predict maximum residual stress in plain dents on the container sidewall. The model is trained on an experimentally validated Finite Element Analysis (FEA) model built in Abaqus FEA. The accuracy of each ML model is compared. The potential for application as well as model shortcomings are assessed. Necessary FEA model improvements are outlined and the various ML models are proposed.

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36 MATERIALS SCIENCE42 ENGINEERINGNuclear storage containerscorrosionfinite element analysismachine learningplutoniumstress

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Hafen, Joseph Dean [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Mississippi, Oxford, MS (United States)] (ORCID:0009000611757000), Teague, Jonathan Gayle [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000317039262), Fleming, Brandon Garrett [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Ruthstrom, Justin Travis [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Moore, Murray E. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000171233117), Lukow, Steven Douglas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000354363181), Suazo, Julio Cesar [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0009000896227117), Grow, David Issac [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000241597742), Choudhury, Samrat [Univ. of Mississippi, Oxford, MS (United States)], Gigax, Jonathan Gregory [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000204566066). 2025-04-24. Framework development for a SAVY-4000 nuclear material storage container structural integrity surveillance tool. https://doi.org/10.1016/j.nucengdes.2025.114064

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