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  • Sub-Plane Scheme for a Radial Transport and Axial Diffusion Code

  • people Jin-Young Cho, Kang-Seog Kim, and Chung-Chan Lee, Han Gyu Joo
  • Proceeding of ICAPP07, May 13-18, 2007
    The SANM solution, a new transverse leakage approximation and a sub-plane scheme
    are introduced to the axial solver of the DeCART code to improve the solution accuracy and to
    obtain the nodal solutions efficiently, and their solutions are examined for a demonstrative
    problem of Ref. 2 and the C5G7MOX 3-D extension benchmark problems. The proposed
    transverse leakage scheme determines the three expansion coefficients of the second-order
    approximation by using the three intra-nodal sub-node fluxes, and it shows a good performance
    for improving the accuracy of the nodal solution when compared with the conventional scheme.
    The SANM solutions using the proposed transverse leakage approximation are shown to be much
    more accurate than the NEM solutions. The sub-plane scheme in which multiple sub-planes are
    introduced within a thick MOC plane and share the equivalence parameters determined for a thick
    MOC plane shows a very good efficiency in that it produces as accurate solutions as the
    conventional multi MOC planes scheme but it requires a slightly more computational burden than
    the one sub-plane per MOC plane case. In the demonstrative problem, the SANM calculation with
    the proposed transverse leakage approximation and using three sub-planes per MOC plane shows
    less than 6 pcm eigenvalue and 0.7 % power errors. In the C5G7MOX benchmark problem, the
    SANM calculation with the proposed transverse leakage approximation and using three subplanes per MOC plane also shows a good performance by reducing a large eigenvalue and the pin
    power errors to a trivial error level of less than 5 pcm eigenvalue and 0.1 % power errors.
    Therefore, it is concluded that the SANM calculation with the proposed transverse leakage
    approximation and introducing a few sub-planes is very effective in obtaining a very accurate
    solution efficiently. 
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