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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.
B. S. Sandhu
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 118-123
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Measurements and General Instrumentation | doi.org/10.13182/NT11-A12279
Articles are hosted by Taylor and Francis Online.
The objective of this work is to present a method/technique for the determination of the effective atomic number (Zeff) of composite materials [mixed materials of many atomic numbers (Z's)]. In the present measurements, an intense beam of gamma-ray photons irradiates targets of different elements and composite materials and of varying thicknesses. The scattered radiations are detected by a properly shielded NaI(Tl) scintillation detector whose response unfolding, converting the observed pulse-height distribution to a true photon spectrum, is obtained with the help of an inverse matrix approach. This also results in the extraction of the numbers of multiple-scattered events from the thick targets. We observe that the numbers of multiple-scattered events, having the same energy as in single-scattered distribution, increase with an increase in target thickness and then saturate for a particular target thickness known as saturation thickness (depth). The saturation thickness is found to decrease when the Z of pure elements increases. A calibration curve (saturation depth versus Z of pure elements) and the measured saturation thickness values for composite materials are used to assign the respective Zeff values of these composite materials. Monte Carlo calculations also support the present experimental results.