DOE OSTI · 2516834
GDSA Framework Development and Process Model Integration FY2024
Abstract
The Disposal Research & Development (Disposal R&D) Campaign of the U.S. Department of Energy (DOE) Office of Nuclear Energy (NE), Office of Spent Fuel & High-Level Waste Disposition is conducting research and development (R&D) on geologic disposal of spent nuclear fuel (SNF) and high-level nuclear waste (HLW). A high priority for Disposal R&D is disposal system modeling (Sassani et al. 2023). The Geologic Disposal Safety Assessment (GDSA) work package is charged with developing a disposal system modeling and analysis capability for evaluating generic disposal system performance for nuclear waste in geologic media.
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Mariner, Paul [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Leone, Rosemary Claire [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Debusschere, Bert [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Madsen, Calvin Franklin [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Curry, Caitlin Jean [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Garcia, Mariah Lee [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Prouty, J. L. [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Rogers, Ralph [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Lopez, Carlos Miguel [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Barela, Amanda Crystal [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Swiler, Laura Painton [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Harvey, Jacob [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Brooks, Dusty Marie [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Basurto, Eduardo [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)]. 2024-12-01. GDSA Framework Development and Process Model Integration FY2024. https://doi.org/10.2172/2516834
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