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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.
Tomomi Uchiyama
Nuclear Science and Engineering | Volume 133 | Number 1 | September 1999 | Pages 92-105
Technical Note | doi.org/10.13182/NSE99-A2075
Articles are hosted by Taylor and Francis Online.
Air-water two-phase flows around a rectangular cylinder located in vertical upward flows are analyzed by an incompressible two-fluid model using the two-dimensional upstream finite element method proposed earlier. The Reynolds number, based on the cross-stream width of the cylinder and the free-stream velocity of the liquid phase, is 2.0 x 104, and the volumetric fraction of the gas phase upstream of the cylinder g0 ranges from 0 to 0.075. Three kinds of cylinders with the thickness-to-width ratios D/B of 0.5, 1, and 1.5 are employed. The calculated flows exhibit unsteady behavior with the von Kármán vortices shedding from the cylinder into the wake at every g0 value. The volumetric fraction of the gas phase is higher in the wake and achieves maximum value at the center of the vortices, where the pressure reaches its minimum value. The flow field and the vortex-shedding frequency are greatly affected not only by the g0 value but also by the D/B ratio.