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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.
Glenn E. Lucas, R. M. N. Pelloux
Nuclear Technology | Volume 53 | Number 1 | April 1981 | Pages 46-57
Technical Paper | Material | doi.org/10.13182/NT81-A17055
Articles are hosted by Taylor and Francis Online.
A study was made of the applicability of time-hardening and strain-hardening rules to describe creep deformation in Zircaloy-2 under variable stress and temperature conditions. Variable stress and variable temperature creep data were compared to isotonic (iso-stress) and isothermal data in the stress regime 69 to 172 MPa and the temperature regime 325 to 400°C. It was observed that creep deformation under these variable conditions does not follow a time-hardening rule. A strain-hardening rule, on the other hand, described well the variable temperature creep deformation at temperatures up to 375°C. At 400°C, however, the strain-hardening rule broke down because of a nonnegligible recovery rate. Consequently, for conditions in which recovery is significant, an explicit treatment of recovery rates may be necessary for accurate creep predictions.