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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.
E. Laggiard, J. Runkel, D. Stegemann
Nuclear Science and Engineering | Volume 115 | Number 1 | September 1993 | Pages 62-70
Technical Paper | doi.org/10.13182/NSE93-A35523
Articles are hosted by Taylor and Francis Online.
The vibration and impacting of an instrument tube in a boiling water reactor (BWR) have been studied using a one-dimensional bimodal model. Four modal nonlinear boundary conditions have been applied, and a set of coupled nonlinear equations describing the temporal evolution of two continuous modal amplitudes have been obtained. These equations have been numerically solved by means of a generalized Runge-Kutta algorithm for stochastic equations. The theoretical results have been compared with experimental in-core neutron noise measurements performed in a 1300-MW BWR, Gundremmingen C, and have been used to interpret the particular vibration behavior of one instrument tube.
