ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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.
Sunil D. Weerakkody, Warren F. Witzig
Nuclear Technology | Volume 78 | Number 1 | July 1987 | Pages 43-53
Technical Paper | Nuclear Safety | doi.org/10.13182/NT87-A34007
Articles are hosted by Taylor and Francis Online.
A statistical decision theory provides a rational theoretical model that enables an algorithm to select appropriate off-site protective actions. Existing knowledge on safety system and containment event trees, the spectrum of release states, and statistical decision theory were used to develop a model that accommodates actual and potential radiation risks and nonradiological risks such as risks of evacuation in selecting off-site protective actions. The usefulness of the model developed is illustrated by applying it to the Three Mile Island Unit 2 (TMI-2) scenario and comparing the actual decisions made with the decisions provided by the model. Conclusions drawn by modeling the TMI-2 related data are in general agreement with off-site protective actions taken. Finally, the model is used to illustrate the extremely low likelihood of the occurrence of accident scenarios that require evacuations beyond a 3.2-km radius and to support a plume exposure pathway emergency planning zone of 3.2 to 8 km for reduced source terms.