A POD reduced-order model for eigenvalue problems with application to reactor physics

SUMMARYA reduced‐order model based on proper orthogonal decomposition (POD) has been presented and applied to solving eigenvalue problems. The model is constructed via the method of snapshots, which is based upon the singular value decomposition of a matrix containing the characteristics of a soluti...

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Vydáno v:	International journal for numerical methods in engineering Ročník 95; číslo 12; s. 1011 - 1032
Hlavní autoři:	Buchan, A. G., Pain, C. C., Fang, F., Navon, I. M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester Blackwell Publishing Ltd 21.09.2013 Wiley Wiley Subscription Services, Inc
Témata:	Algebra Applied sciences Computational efficiency Construction Consumer goods Eigenfunctions eigenvalue problem Eigenvalues Energy Energy. Thermal use of fuels Exact sciences and technology Fission nuclear power plants Installations for energy generation and conversion: thermal and electrical energy Linear and multilinear algebra, matrix theory Mathematical analysis Mathematical models Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) Numerical analysis. Scientific computation POD reactor criticality Reactor physics reduced-order modelling Sciences and techniques of general use Critical system Karhunen Loeve transformation POD Eigenfunction Dominance Modeling Nuclear reactor reactor criticality Finite element method Time dependence Problem solving Eigenvalue problem Reduced order systems reduced-order modelling Large scale Reduced order model Principal component analysis Singular value decomposition Novelty
ISSN:	0029-5981, 1097-0207
On-line přístup:	Získat plný text
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