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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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NEA panel on AI hosted at World Governments Summit
A panel on the potential of artificial intelligence to accelerate small modular reactors was held at the World Governments Summit (WGS) in February in Dubai, United Arab Emirates. The OECD Nuclear Energy Agency cohosted the event, which attracted leaders from developers, IT companies, regulators, and other experts.
Douglas K. Warinner, S. C. Saxena
Nuclear Science and Engineering | Volume 76 | Number 3 | December 1980 | Pages 361-366
Technical Note | doi.org/10.13182/NSE80-A21328
Articles are hosted by Taylor and Francis Online.
The method-of-Ergun fluidization theory is applied to a postulated porous blockage in the core of a liquid-metal fast breeder reactor (LMFBR). By the parallel flow channeling through the subassemblies of the reactor, a definite pressure gradient is imposed across each subassembly. This pressure gradient is found to be sufficient to fluidize (and entrain particles from) any postulated loose-particle-formed blockage. A parametric study that considers a range of reactor materials and sodium coolant temperatures demonstrates that a radially large planar blockage cannot be reasonably postulated to exist in an LMFBR. Further, any radially large particulate blockage would be subjected to fluidization and ultimate destruction by entrainment and turbulent flow forces. Thus, flow starvation via a slowly growing blockage can be dismissed as an incredible event.