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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
A. Bhattacharya, S. D. Yu
Nuclear Science and Engineering | Volume 174 | Number 1 | May 2013 | Pages 60-78
Technical Paper | doi.org/10.13182/NSE12-31
Articles are hosted by Taylor and Francis Online.
This paper presents the development of comprehensive computational fluid dynamics models for unsteady flows of coolant through a string of 12 CANDU 6 fuel bundles with angular misalignments inside a pressure tube by means of large eddy simulation. The computational scheme is first validated against the numerical and experimental data available in the literature for an array of parallel rods without end plates. The converged numerical results for the 12-bundle string are then successfully obtained by utilizing 60 supercomputers and parallel processing. The computed mean and root-mean-square values of the lateral fluid forces indicate that it is necessary to model the entire fuel string in a channel to accurately quantify the unsteady flow-induced excitations.