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Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Candidates for leadership provide statements: ANS Board of Directors
With the annual ANS election right around the corner, American Nuclear Society members will be going to the polls to vote for a vice president/president-elect, treasurer, and members-at-large for the Board of Directors. In January, Nuclear News published statements from candidates for vice president/president-elect and treasurer. This month, we are featuring statements from each nominee for the Board of Directors.
J. Chun, G. E. Apostolakis
Nuclear Technology | Volume 40 | Number 2 | September 1978 | Pages 149-158
Technical Paper | Tutorial Materials/Design Interaction in Nuclear System / Reactor | doi.org/10.13182/NT78-A26711
Articles are hosted by Taylor and Francis Online.
The probability of failure of the battery system in a nuclear power plant is investigated under the assumption of total loss of ac power. This failure is the result of overheating of the battery cells due to the loss of ventilation that follows ac blackout (environmental common cause failure). The temperature of each cell and the design limit temperature are treated as random variables, and failure is assumed to occur when the former exceeds the latter. The distributions of these random variables are assessed using a simple thermal model, available data, and engineering judgment.