
We describe in this paper the recent advances in spectral nodal methods applied to diffusion problems in Cartesian geometry for neutron multiplying systems. In particular, we present a constant spectral nodal method for two-energy group X,Y geometry applied to neutron diffusion eigenvalue problems. We consider an arbitrary rectangular spatial grid defined on a two-dimensional rectangular domain and we use a transverse integration procedure to transform the two-dimensional problem into two 'one-dimensional' problems wherein the transverse leakage terms are approximated by constants. As a result, we obtain the transverse-integrated constant nodal diffusion equations that we discretise using the spectral nodal method. The discretised balance diffusion equations together with appropriate auxiliary equations, continuity and boundary conditions form the two-energy group X,Y geometry spectral constant nodal diffusion equations. The auxiliary equations have parameters that are to be determined such that the analytical general solutions of the transverse-integrated constant nodal diffusion equations are preserved. We show numerical results to illustrate the method's accuracy for coarse-mesh calculations in homogeneous and heterogeneous domains.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
