Adaptive discontinuous Galerkin methods for the neutron transport equation

Bennison, Tom (2014) Adaptive discontinuous Galerkin methods for the neutron transport equation. PhD thesis, University of Nottingham.

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In this thesis we study the neutron transport (Boltzmann transport equation) which is used to model the movement of neutrons inside a nuclear reactor. More specifically we consider the mono-energetic, time independent neutron transport equation.

The neutron transport equation has predominantly been solved numerically by employing low order discretisation methods, particularly in the case of the angular domain. We proceed by surveying the advantages and disadvantages of common numerical methods developed for the numerical solution of the neutron transport equation before explaining our choice of using a discontinuous Galerkin (DG) discretisation for both the spatial and angular domain.

The bulk of the thesis describes an arbitrary order in both angle and space solver for the neutron transport equation. We discuss some implementation issues, including the use of an ordered solver to facilitate the solution of the linear systems resulting from the discretisation. The resulting solver is benchmarked using both source and critical eigenvalue computations. In the pseudo three--dimensional case we employ our solver for the computation of the critical eigenvalue for three industrial benchmark problems.

We then employ the Dual Weighted Residual (DWR) approach to adaptivity to derive and implement error indicators for both two--dimensional and pseudo three--dimensional neutron transport source problems. Finally, we present some preliminary results on the use of a DWR indicator for the eigenvalue problem.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Houston, P.
Cliffe, K.A.
Subjects: Q Science > QA Mathematics > QA299 Analysis
Q Science > QC Physics > QC770 Nuclear and particle physics. Atomic energy. Radioactivity
Faculties/Schools: UK Campuses > Faculty of Science > School of Mathematical Sciences
Item ID: 28944
Depositing User: Bennison, Tom
Date Deposited: 04 Jun 2015 13:33
Last Modified: 15 Oct 2017 16:10

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