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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Educational Session|Panel|Plant Reliability
Tuesday, August 9, 2022|3:30–5:00PM EDT|Banyan 2
Session Chair:
Ray Herb (SNC)
Track Organizer:
Emmett Wilmes (MPR)
Knowledge Manager:
Ashley Bridgmon (Southern Co.)
Improving equipment reliability is a key objective for most utility enterprise strategies. With the ongoing concerns of aging plant components, there is pressure to effectively spend maintenance dollars to maintain reliability goals. Digital modernization provides the opportunity to fundamentally re-evaluate the concept of maintenance for a nuclear facility through data governance and data democratization. One important tool is through effective use of Performance Monitoring and Diagnostics (PM&D) Centers. PM&D Centers provide a window into the condition of the plant, advanced warning for challenges to plant reliability, while supporting efforts to reduce maintenance costs. This can support condition-based maintenance (CBM) efforts by utilizing advanced technology, data analytics, and subject matter experts to assist in early issue identification, diagnosis, and elimination of equipment performance issues. Additionally, how we use plant data from modernization efforts can streamline analysis and support innovative technologies such as digital twins and advanced prognostics. This panel will explore current and future uses of PM&D center technology and how utilization of equipment monitoring and data analytics enhance the identification, diagnosis, and elimination of plant and equipment performance issues. Panelists will provide overview of their facility’s capabilities and examples of ‘catches’ as well as plans for effective use and dissemination of plant equipment data.
Ray Herb
SNC
Pareez Golub
Sargent and Lundy
Molly Strasser
Xcel Energy
Vivek Agarwal
INL
Randall Olson
John Petriccione
Exelon
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