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2024 ANS Annual Conference
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Nicholas Tsoulfanidis—ANS member since 1969
As an undergraduate I studied physics at the University of Athens. I entered the university in 1955 after successfully passing a national exam (came up fourth in a field of about 700 candidates). Upon graduation and finishing my mandatory two-year military service, the plan was to teach physics either in a public high school or as a tutor for a private for-profit institution, preparing high school students for the national exam.
Ugur Mertyurek, Paul J. Turinsky
Nuclear Science and Engineering | Volume 147 | Number 2 | June 2004 | Pages 93-126
Technical Paper | doi.org/10.13182/NSE04-A2422
Articles are hosted by Taylor and Francis Online.
A Super-Nodal method is developed to improve computational efficiency of core simulations for three-dimensional (3-D) core neutronics models. Computational performance of the neutronics model is increased by reducing the number of spatial nodes used in the core modeling. The Super-Nodal method reduces the errors associated with the use of coarse nodes in the analyses by providing a new set of cross sections and discontinuity factors for the new nodalization. These so-called homogenization parameters are obtained by employing a consistent collapsing technique.During this research a new type of singularity, namely, "fundamental mode singularity," is addressed in the analytical nodal method solution. The "coordinate shifting" approach is developed as a method to address this singularity. Also, the "buckling shifting" approach is developed as an alternative to address the "zero buckling singularity." In the course of addressing the treatment of these singularities, an effort was made to provide better and more robust results from the Super-Nodal method by developing several new methods for determining the collapsed diffusion coefficient. A simple error analysis based on the relative residual in the 3-D few-group diffusion equation at the fine mesh level is also introduced in this work.