Block Preconditioning Matrices for the Newton Method to Compute the Dominant lambda-Modes Associated with the Neutron Diffusion Equation

[EN] In nuclear engineering, the lambda-modes associated with the neutron diffusion equation are applied to study the criticality of reactors and to develop modal methods for the transient analysis. The differential eigenvalue problem that needs to be solved is discretized using a finite element met...

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Detalles Bibliográficos
Autores: Carreño, Amanda|||0000-0003-2302-1157, Vidal-Ferràndiz, Antoni|||0000-0001-5449-7356, Ginestar Peiro, Damián|||0000-0003-1243-6648, Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X, Bergamaschi, Luca, Martinez, Angeles
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/159343
Acceso en línea:https://riunet.upv.es/handle/10251/159343
Access Level:acceso abierto
Palabra clave:Block preconditioner
Generalized eigenvalue problem
Neutron diffusion equation
Modified block Newton method
INGENIERIA NUCLEAR
MATEMATICA APLICADA
Descripción
Sumario:[EN] In nuclear engineering, the lambda-modes associated with the neutron diffusion equation are applied to study the criticality of reactors and to develop modal methods for the transient analysis. The differential eigenvalue problem that needs to be solved is discretized using a finite element method, obtaining a generalized algebraic eigenvalue problem whose associated matrices are large and sparse. Then, efficient methods are needed to solve this problem. In this work, we used a block generalized Newton method implemented with a matrix-free technique that does not store all matrices explicitly. This technique reduces mainly the computational memory and, in some cases, when the assembly of the matrices is an expensive task, the computational time. The main problem is that the block Newton method requires solving linear systems, which need to be preconditioned. The construction of preconditioners such as ILU or ICC based on a fully-assembled matrix is not efficient in terms of the memory with the matrix-free implementation. As an alternative, several block preconditioners are studied that only save a few block matrices in comparison with the full problem. To test the performance of these methodologies, different reactor problems are studied.