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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. Monier
Nuclear Science and Engineering | Volume 120 | Number 2 | June 1995 | Pages 91-101
Technical Paper | doi.org/10.13182/NSE95-A24110
Articles are hosted by Taylor and Francis Online.
A piecewise polynomial collocation approximation of the shape function is applied to Volterra’s form of the quasi-static equations. This formulation of the quasi-static method does not require the imposition of an arbitrary constraint. The resulting set of nonlinear unconstrained quasi-static (UQS) equations is solved by using fixed-point iteration. The shape equation, which is similar in form to those obtained by using Padé’s algorithms, is solved with a second-order variational minimization technique. The results of this formulation are then compared with other quasi-static solutions for a typical Canada deuterium uranium (CANDU) reactor safety analysis calculation.
