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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.
S. Nogami, W. Guan, M. Fukuda, H. Tanigawa, A. Hasegawa
Fusion Science and Technology | Volume 68 | Number 3 | October 2015 | Pages 607-611
Technical Paper | Proceedings of TOFE-2014 | doi.org/10.13182/FST14-929
Articles are hosted by Taylor and Francis Online.
To improve the fatigue properties evaluation of the joint region of the fusion reactor blanket, the effect of the non-uniform distribution of the microstructure and strength on the fatigue properties of the electron beam weld joint of the F82H steel was investigated by the fatigue test and the numerical simulation of the deformation under the test. The fatigue life of the joint was approximately 10−20 % of that of the base metal. The fracture under the fatigue test occurred around the over-tempered heat affected zone (the region with the lowest hardness). One of the reasons of the shorter fatigue life of the joint could be the higher crack growth rate induced by the peak strain around the over-tempered heat affected zone due to the non-uniform deformation.