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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
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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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 Technology and Innovation
Tuesday, August 11, 2020|11:00AM–12:30PM (12:00–1:30PM EDT)|10
Session Organizer:
Adam Dow (Southern California Edison)
Knowledge Manager:
Greg Swain (Duke Energy)
This session focuses on the enablement of operational artificial intelligence at scale within the landscape of a broader utility digital transformation which focuses on advanced analytics, digital platform and mobile application development, and robotic process automation. As AI has evolved over the last couple of decades, the industry strategy has shifted from scattered and ambiguous capabilities to solutions that have (1) focused business value and use case, (2) design and control processes for AI-friendly data, (3) harnessing the utility enterprise resources to classify/tag images and data, (4) democratization of AI model low-code/no-code development, and (5) plug and play end-point device capabilities to leverage AI in the field. Discussions in this session will include the linkage of ML modeling to quantify risk and integrate into work management and decision-making processes, tactical AI algorithm development for object detection and condition assessments, and leveraging new forms of data (e.g. photogrammetry, LiDAR, etc.) across an exponentially increasing spectrum of structured, unstructured and streaming information.
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