2014
DOI: 10.1155/2014/913043
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Resolution of the Generalized Eigenvalue Problem in the Neutron Diffusion Equation Discretized by the Finite Volume Method

Abstract: Numerical methods are usually required to solve the neutron diffusion equation applied to nuclear reactors due to its heterogeneous nature. The most popular numerical techniques are the Finite Difference Method (FDM), the Coarse Mesh Finite Difference Method (CFMD), the Nodal Expansion Method (NEM), and the Nodal Collocation Method (NCM), used virtually in all neutronic diffusion codes, which give accurate results in structured meshes. However, the application of these methods in unstructured meshes to deal wi… Show more

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Cited by 11 publications
(13 citation statements)
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“…If one applies the FVM to Equation 2, Equation 3 is obtained [3]. In this equation, the face-averaged values of the neutron flux gradient ( ⃗⃗ , , ) have to be determined.…”
Section: Volume Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…If one applies the FVM to Equation 2, Equation 3 is obtained [3]. In this equation, the face-averaged values of the neutron flux gradient ( ⃗⃗ , , ) have to be determined.…”
Section: Volume Methodsmentioning
confidence: 99%
“…In this equation, the face-averaged values of the neutron flux gradient ( ⃗⃗ , , ) have to be determined. In the reference mentioned [3], ⃗⃗ , , is calculated by means of Arb [5] algorithm, which calculates it as a weighted sum of the cell averaged values of the neutron flux of the neighbouring cells ( , ) as in Equation 4 [3,5]. Nonetheless, it works well for fine meshes, but it requires high computational time [3].…”
Section: Volume Methodsmentioning
confidence: 99%
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“…Also, a nodal collation method based on the expansion of the neutron in terms of orthogonal polynomials has been extensively used to deal with rectangular geometries (Verdú et al, 1994;Verdú et al, 1999;Ginestar, Marín, and Verdú, 2001;Verdú et al, 2005). The Finite Volume Method, FVM, has also been considered to calculate the neutronic steady state of a nuclear power (Bernal et al, 2014).…”
Section: Introductionmentioning
confidence: 99%