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Division Spotlight
Nuclear Criticality Safety
NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Survey says . . . Emotional intelligence important in nuclear industry
The American Nuclear Society’s Diversity and Inclusion in ANS (DIA) Committee hosted a workshop social at the 2024 Winter Conference & Expo in November that brought dozens of attendees together for an engaging—and educational—twist on the game show Family Feud.
Tzing-Shenq Horng, Cheng-Chang Chieng
Nuclear Technology | Volume 79 | Number 1 | October 1987 | Pages 100-115
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT87-A16008
Articles are hosted by Taylor and Francis Online.
A computer program is developed to simulate the fluid and thermal mixing of the Electric Power Research Institute/Creare one-fifth-scale tests. The mass-flow-weighted skew-upwind differencing scheme (SUDS), as well as the upwind differencing scheme, and the k-∈ two-equation model of turbulence in cylindrical coordinates are employed in the numerical simulation. The computational results are compared with experimental data of test numbers 42, 46, and 51 and COMMIX results. The numerical diffusion is significantly reduced by SUDS, and a satisfactory prediction is achieved.