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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Optimizing nuclear plant outages: Data analytics tools and methods for enhancing resilience and efficiency
Nuclear power plant refueling outages are among the most complex phases in a plant’s operational cycle.1 During these outages, tens of thousands of activities, including maintenance and surveillance, are conducted simultaneously within a short timeframe. Typically lasting three to four weeks, these operations involve large crews of contractors with diverse skill sets performing tasks ranging from testing and surveillance to maintenance. Outages may extend longer if major backfitting or modernization projects are planned. Consequently, plant outages are expensive, incurring significant operational costs, such as contractor labor and equipment, as well as the loss of generation while the plant is off line. This can easily cost a plant operator more than $1 million a day. Therefore, there is a constant need to mitigate the economic impact on plants by reducing the frequency, duration, and risks associated with these outages.2,3
P.L. Walstrom
Fusion Science and Technology | Volume 10 | Number 3 | November 1986 | Pages 1542-1547
Magnet Engineering | doi.org/10.13182/FST86-A24952
Articles are hosted by Taylor and Francis Online.
The techniques of differential geometry have been applied to the problem of predicting the shape of thick twisted coil windings as successive turns and layers of turns are applied to a winding form. The explicit expressions for the required Christoffel symbols for parallel surfaces are derived in terms of the starting surface parameterization. Expressions for geodesic windings on a particular surface, called the rectifying developable, and the family of surfaces parallel to it are derived. The advantages of the rectifying developable from the point of view of coil fabrication are discussed.