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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
2021 ANS Winter Meeting and Technology Expo
November 30–December 3, 2021
Washington, DC|Washington Hilton
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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Nuclear Science and Engineering
October 2021
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August 2021
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Matthew Denman: On Probabilistic Risk Assessment
Matthew Denman
Probabilistic risk assessment is a systematic methodology for evaluating risks associated with a complex engineered technology such as nuclear energy. PRA risk is defined in terms of possible detrimental outcomes of an activity or action, and as such, risk is characterized by three quantities: what can go wrong, the likelihood of the problem, and the resulting consequences of the problem.
Matthew Denman is principal engineer for reliability engineering at Kairos Power and the chair of the American Nuclear Society and American Society of Mechanical Engineers Joint Committee on Nuclear Risk Management’s Subcommittee of Standards Development. As a college student at the University of Florida, Denman took a course on PRA but didn’t enjoy it, because he did not see its connection to the nuclear power industry. Later, during his Ph.D. study at the Massachusetts Institute of Technology, his advisor was Neil Todreas, a well-known thermal hydraulics expert. Todreas was working on a project with George Apostolakis, who would leave MIT to become a commissioner of the Nuclear Regulatory Commission. The project, “Risk Informing the Design of the Sodium-Cooled Fast Reactor,” was a multi-university effort funded through a Department of Energy Nuclear Energy Research Initiative (NERI) grant. Todreas and Apostolakis were joined in this project by a who’s who of nuclear academia, including Andy Kadak (MIT, ANS past president [1999–2000]), Mike Driscoll (MIT), Mike Golay (MIT), Mike Lineberry (Idaho State University, former ANS treasurer), Rich Denning (Ohio State University), and Tunc Aldemir (Ohio State University).
Educational Session|Panel|Sponsored by Business/Economic Performance
Tuesday, August 11, 2020|1:00–2:30PM (2:00–3:30PM EDT)|1
Session Organizer:
David Heler (Accelerant)
Knowledge Manager:
Amber Von Ruden (Exelon Corporation)
2:00pm-3:00pm SOUL is a Knowledge Management platform that takes advantage of digital transformation, professional expertise and social collaboration to transfer knowledge throughout an organization to internal and external stakeholders. SOUL Artificial Intelligence (AI) helps students speed up their learning through customized reinforcement experiences. Management also benefits from Big Data techniques to discover trends and key insights from the learning process in the organization. Through machine learning, SOUL can help managers find out "training gaps" or hidden talent in the company. SOUL allows and encourages the integration and use of innovative e-learning materials, serious games, 3D models, virtual reality and high-level interactive tools, thus enhancing flexible learning while minimizing training cost and time. Focusing on improving the knowledge transfer experience, SOUL provides a cost-effective solution for knowledge management that creates an exciting learning environment that engages the users, improving the results. 3:00pm-3:30 pm: The continued viability of Palo Verde requires a streamlined ”Maintaining The Plant” process that does not diminish nuclear safety or equipment reliability. NEI Efficiency Bulletin 17-23 implementation is intended to result in plant maintenance being performed in a highly efficient manner that will improve plant productivity and maintain equipment reliability at expected levels, all at a reduced cost. This is being achieved through innovation, automation, and elimination within existing processes.
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Reference — Palo Verde Slides
Reference — Accelerant Slides
Session Notes
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