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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.
M. P. Paidoussis
Nuclear Science and Engineering | Volume 35 | Number 1 | January 1969 | Pages 127-138
Technical Paper | doi.org/10.13182/NSE69-A21121
Articles are hosted by Taylor and Francis Online.
Three types of experiments were conducted in a study of flow-induced vibration of cylinders: 1) experiments with a single cylinder in the test section, in which the length, mass, flexural rigidity, and diameter of the cylinder, and the flow velocity were varied systematically, in order to obtain a measure of the dependence of vibration amplitude on these parameters; 2) ad hoc experiments with single cylinders on the effect of large-scale flow disturbances upstream of the cylinder; 3) experiments with a bundle of cylinders. Based on the work of 1), a previously derived empirical expression for predicting vibration amplitude was revised, and agreement with the experimental data from various sources was improved; however, agreement with the experiments of 3) remains poor.