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Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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Prepare for the 2025 PE Exam with ANS guides
The next opportunity to earn professional engineer (PE) licensure in nuclear engineering is this fall. Now is the time to sign up and begin studying with the help of materials like the online module program offered by the American Nuclear Society.
Gerald R. Mazetis, David D. Ebert
Nuclear Technology | Volume 67 | Number 3 | December 1984 | Pages 411-418
Technical Paper | Nuclear Safety | doi.org/10.13182/NT84-A33498
Articles are hosted by Taylor and Francis Online.
A method for nuclear power plant accident diagnostics using optimal control theory was investigated. A computer code, CAAD (Computer Assisted Accident Diagnostics), based on Pontryagin’s Principle, has been written and applied to single control malfunctions in nuclear power plants. Using a simplified systems model to represent power plant dynamics, the control theory in CAAD is expected to be suitable for expanding to more detailed systems applications. Results were obtained for a series of simulated plant transients that compare key state parameters to the control parameter output resulting from searches for the correct malfunction. A performance index is used as a convergence criterion upon which to define the degree of approach to the correct failure identification. The long-term goal of this methodology would be to expand to on-line computer application in reactor control rooms. Intended to be automatically initiated by a reactor accident, the malfunction search process would provide the operator with additional information to assist in identifying the most likely failure.