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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.
Lee A. James
Nuclear Technology | Volume 16 | Number 1 | October 1972 | Pages 316-322
Technical Paper | Reactor Materials Performance / Material | doi.org/10.13182/NT72-A31197
Articles are hosted by Taylor and Francis Online.
The fatigue-crack propagation behavior of 20% cold-worked Type 316 stainless steel was characterized over the temperature range 75 to 1300°F (24 to 704°C) using linear-elastic fracture mechanics. It was found that, at a given level of stress intensity factor, increasing the temperature produced a significant increase in the rate of fatigue-crack propagation. At 1000°F, decreasing the cyclic frequency tended to increase the crack growth rate. The data also suggest that, at a given temperature, the crack growth rate is slightly higher when the direction of crack extension is parallel to the rolling direction than when the crack extension is perpendicular to the rolling direction. Comparison with data for solution-annealed Type 316 fatigue-cycled under similar conditions indicates that, at a given temperature, cold working tends to increase the resistance to fatigue-crack propagation.
