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The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
D. V. Altiparmakov, Dj. Tomašević
Nuclear Science and Engineering | Volume 105 | Number 3 | July 1990 | Pages 256-270
Technical Paper | doi.org/10.13182/NSE90-A19190
Articles are hosted by Taylor and Francis Online.
A higher order nodal diffusion method is formulated, based on variational principle, Kantorovich’s variational method, and the patch test. In this framework, the relationship between finite element and nodal methods is discussed and the differences are pointed out. General, transverse integrated quasi-one-dimensional nodal equations are derived and matrix representation is given. In addition, a comparison with a similar approach is shown. A numerical solution is carried out using polynomial expansion of the source term and the corresponding analytic solution in alternating directions. Calculations of two-dimensional International Atomic Energy Agency and Biblis benchmark problems are performed and compared with results from the literature. It is shown that the first-order approximation yields the same order of accuracy as the standard nodal methods with quadratic leakage approximation, while the second-order approximation is considerably better.