2015
DOI: 10.1016/j.anucene.2014.09.038
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On the Neutron multi-group kinetic diffusion equation in a heterogeneous slab: An exact solution on a finite set of discrete points

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Cited by 16 publications
(2 citation statements)
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“…One of the first methods used for solving this eigenvalue problem was the finite difference method (FDM), however as it requires very mesh points to model accurately, it becomes a bit slow from the computational point of view [1]. Over time other methodologies have been implemented for solving the neutron diffusion eigenvalue problem, as for example: Finite Element Method [2], [Pseudo-Harmonics Expansion Method [1], Finite Volume Method [3], Lagrange Polynomial Algorithms (LAP) using the same approach in FDM [4], Taylor Series Expansion Method [5], Isogeometric Analysis [6], Integral Transform Techniques [7] and Generalized Integral Transform Technique (GITT) combined with Laplace Transform given by [8] and Nodal Method [9].…”
Section: Introductionmentioning
confidence: 99%
“…One of the first methods used for solving this eigenvalue problem was the finite difference method (FDM), however as it requires very mesh points to model accurately, it becomes a bit slow from the computational point of view [1]. Over time other methodologies have been implemented for solving the neutron diffusion eigenvalue problem, as for example: Finite Element Method [2], [Pseudo-Harmonics Expansion Method [1], Finite Volume Method [3], Lagrange Polynomial Algorithms (LAP) using the same approach in FDM [4], Taylor Series Expansion Method [5], Isogeometric Analysis [6], Integral Transform Techniques [7] and Generalized Integral Transform Technique (GITT) combined with Laplace Transform given by [8] and Nodal Method [9].…”
Section: Introductionmentioning
confidence: 99%
“…As ECE na teoria da difusão de nêutrons são amplamente utilizadas por fornecer resultados satisfatórios para cálculos globais em física de reatores [6]. Ao longo dos anos, diversas metodologia foram propostas para solucionar este problema da cinética espacial, por exemplo, por diferenças finitas [12], por expansão em séries [4], pelo método ortogonal quase estático [9], entre outras. Além da relevância do ponto de vista físico, os sistemas são rígidos e o tratamento numérico é desafiador.…”
Section: Introductionunclassified