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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Powering the future: How the DOE is fueling nuclear fuel cycle research and development
As global interest in nuclear energy surges, the United States must remain at the forefront of research and development to ensure national energy security, advance nuclear technologies, and promote international cooperation on safety and nonproliferation. A crucial step in achieving this is analyzing how funding and resources are allocated to better understand how to direct future research and development. The Department of Energy has spearheaded this effort by funding hundreds of research projects across the country through the Nuclear Energy University Program (NEUP). This initiative has empowered dozens of universities to collaborate toward a nuclear-friendly future.
P. E. Labeau
Nuclear Science and Engineering | Volume 126 | Number 2 | June 1997 | Pages 131-145
Technical Paper | doi.org/10.13182/NSE97-A24467
Articles are hosted by Taylor and Francis Online.
Probabilistic dynamics offers a general Markovian framework for a dynamic treatment of reliability. Monte Carlo simulation appears to be a powerful and flexible tool to deal with the high dimensionality of realistic applications. Yet an analog game turns out to be ineffective for two main reasons: Very rare events leading to failures are not sampled enough to obtain a good statistical accuracy, and the equations of the dynamics have to be integrated all along each history, which results in very large computation times. Recent improvements in Monte Carlo simulation applied to probabilistic dynamics allow a much faster and more precise estimation of the unreliability of large systems, and they are illustrated on a pressurized water reactor pressurizer.