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A new approach for solution of time dependent neutron transport equation based on nodal discretization using MCNPX code with feedback

Ghaderi Mazaher, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.anucene.2019.06.026
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. This paper proposes a new method for solving the time-dependent neutron transport equation based on nodal discretization using the MCNPX code. Most valid nodal codes are based on the diffusion theory with differences in approximating the leakage term until now. However, the Monte Carlo (MC) method is able to estimate transport parameters without approximations usual in diffusion method. Therefore, improving the nodal approach via the MC techniques can substantially reduce the errors caused by diffusion approximations. In the proposed method, the reactor core is divided into nodes of arbitrary dimensions, and all terms of the transport equation e.g. interaction rates and leakage ratio are estimated using MCNPX. They are then employed within the time-dependent neutron transport equation for each node independently to compute the neutron population. Based on this approach, a time-dependent code namely MCNP-NOD (MCNPX code based on a NODal discretization) was developed for solving time-dependent transport equation in an arbitrary geometry considering feed backs. The MCNP-NOD is able to simulate multi-group processes using appropriate libraries. Several test problems are examined to evaluate the method. © 2019 Elsevier Ltd
  6. Keywords:
  7. MCNPX code ; Monte Carlo method ; Time-dependent transport ; Codes (symbols) ; Diffusion ; Neutron flux ; Transient analysis ; Transport properties ; Diffusion approximations ; Nodal discretization ; Precursors ; Time-dependent neutron transport ; Time-dependent transport equations ; Transport parameters ; Monte Carlo methods
  8. Source: Annals of Nuclear Energy ; Volume 133 , 2019 , Pages 519-526 ; 03064549 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0306454919303445