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Division Spotlight
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Latest News
Fuel supply chain updates as U.S. and allies “sever dependency” on Russian U
The United States has an ambitious goal: to establish a high-assay low enriched-uranium advanced nuclear fuel supply chain, revive the once thriving nuclear fuel market for low-enriched uranium in the nation, and “reestablish U.S. leadership in nuclear energy more broadly.” Making a success of that could have impacts beyond the nuclear sector. According to the Department of Energy’s Office of Nuclear Energy, “Expanding domestic LEU and HALEU enrichment production will be essential for fueling the clean energy required to bring down emissions in all sectors of the economy—including in hard-to-abate sectors such as manufacturing and industrial—while delivering high paying jobs to communities across the country.”
Taro Ueki, Takamasa Mori and Masayuki Nakagawa
Nuclear Science and Engineering | Volume 125 | Number 1 | January 1997 | Pages 1-11
Technical Paper | doi.org/10.13182/NSE97-1
Articles are hosted by Taylor and Francis Online.
Biases in the estimators of the variance and intercycle covariances in Monte Carlo eigenvalue calculations are analyzed. The relations among the “real” and “apparent” values of variances and intercycle covariances are derived, where real refers to a true value that is calculated from independently repeated Monte Carlo runs and apparent refers to the expected value of estimates from a single Monte Carlo run. Next, iterative methods based on the foregoing relations are proposed to estimate the standard deviation of the eigenvalue. The methods work well for the cases in which the ratios of the real to apparent values of variances are between 1.4 and 3.1. Even in the case where the foregoing ratio is >5, >70% of the standard deviation estimates fall within 40% from the true value.