New Splitting Iterative Methods for Solving Multidimensional Neutron Transport Equations

Name: New Splitting Iterative Methods for Solving Multidimensional Neutron Transport Equations
Brand: Dissertation.com
SKU: 9781599423968
Price: 664 CZK
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Autor: Jacques Tagoudjeu

Jazyk:

Vazba: Brožovaná

Vydavatel: Dissertation.com

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

664 Kč

This thesis focuses on iterative methods for the treatment of the steady state neutron transport equ...

Informace o knize

Autor

Jacques Tagoudjeu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

160

EAN

9781599423968

ISBN

9781599423968

Enbook ID

08765726

Vydavatel

Dissertation.com

Hmotnost

263

Rozměry

170 x 244 x 9

Kompletní popis

This thesis focuses on iterative methods for the treatment of the steady state neutron transport equation in slab geometry, bounded convex domain of Rn (n = 2,3) and in 1-D spherical geometry. We introduce a generic Alternate Direction Implicit (ADI)-like iterative method based on positive definite and m-accretive splitting (PAS) for linear operator equations with operators admitting such splitting. This method converges unconditionally and its SOR acceleration yields convergence results similar to those obtained in presence of finite dimensional systems with matrices possessing the Young property A. The proposed methods are illustrated by a numerical example in which an integro-differential problem of transport theory is considered. In the particular case where the positive definite part of the linear equation operator is self-adjoint, an upper bound for the contraction factor of the iterative method, which depends solely on the spectrum of the self-adjoint part is derived. As such, this method has been successfully applied to the neutron transport equation in slab and 2-D cartesian geometry and in 1-D spherical geometry. The self-adjoint and m-accretive splitting leads to a fixed point problem where the operator is a 2 by 2 matrix of operators. An infinite dimensional adaptation of minimal residual and preconditioned minimal residual algorithms using Gauss-Seidel, symmetric Gauss-Seidel and polynomial preconditioning are then applied to solve the matrix operator equation. Theoretical analysis shows that the methods converge unconditionally and upper bounds of the rate of residual decreasing which depend solely on the spectrum of the self-adjoint part of the operator are derived. The convergence of theses solvers is illustrated numerically on a sample neutron transport problem in 2-D geometry. Various test cases, including pure scattering and optically thick domains are considered.

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New Splitting Iterative Methods for Solving Multidimensional Neutron Transport Equations

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