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The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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Strontium: Supply-and-demand success for the DOE’s Isotope Program
The Department of Energy’s Isotope Program (DOE IP) announced last week that it would end its “active standby” capability for strontium-82 production about two decades after beginning production of the isotope for cardiac diagnostic imaging. The DOE IP is celebrating commercialization of the Sr-82 supply chain as “a success story for both industry and the DOE IP.” Now that the Sr-82 market is commercially viable, the DOE IP and its National Isotope Development Center can “reassign those dedicated radioisotope production capacities to other mission needs”—including Sr-89.
Martin G. Plys
Nuclear Technology | Volume 101 | Number 3 | March 1993 | Pages 400-410
Technical Paper | Severe Accident Technology / Nuclear Reactor Safety | doi.org/10.13182/NT93-A34796
Articles are hosted by Taylor and Francis Online.
Hydrogen production and combustion during hypothetical severe nuclear reactor accidents are discussed from the perspective of integral predictive assessment of such accidents. Unmitigated hydrogen production after prolonged core dryout has the adverse impacts of accelerating the degradation of core geometry, reducing heat transfer area, and impeding the in-vessel recovery of an accident. Unmitigated hydrogen combustion can, in certain circumstances, lead to containment failure, or it could damage equipment and thereby impede recovery. The phenomena of in-vessel hydrogen generation and combustion are summarized, including recent experiments, and selected models for integral predictive assessment of these phenomena are described. Adequacies and shortcomings of models and the experimental data base are identified, and the effects of mitigation are discussed.