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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.
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Paul B. Bleiweis, William E. Kastenberg, David Okrent
Nuclear Science and Engineering | Volume 56 | Number 2 | February 1975 | Pages 152-170
Technical Paper | doi.org/10.13182/NSE75-A26654
Articles are hosted by Taylor and Francis Online.
Two angular-dependent liquid-metal fast breeder reactor (LMFBR) disassembly models are derived in this paper. These models are based on the physical assumptions of the VENUS (r,z) computer codes (VENUS and VENUS-II). A two-dimensional (r, θ) model is derived to study disassembly in an infinitely long cylinder. The second model is an approximate three-dimensional model which employs the Galerkin method (a subset of the method of weighted residuals) to solve for the three-dimensional motions of materials during disassembly. An iterative technique which is employed to calculate trial and weighting functions for the Galerkin method is proposed and tested. The two angular-dependent disassembly models are used to study four configurations of a reference1000-MW(e) LMFBR. Most of the calculations performed employ the two-dimensional (r, θ) model to estimate the effects of angular dependence on three-dimensional calculations. In addition, a number of three-dimensional calculations are presented both to validate the model and to study the relative effect of angular motion on LMFBR disassemblies. The results indicate that angular motion is second order compared to radial and axial motions for the four configurations studied. These calculations also indicate that the models derived are relatively simple and inexpensive to use and can be employed to study other configurations which may be more dependent cm angular motion during a disassembly accident than the four chosen for this study.