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Improving eigenpairs of automated multilevel substructuring with subspace iterations
Publikationstyp
Journal Article
Publikationsdatum
2013-02-28
Sprache
English
Author
Institut
TORE-URI
Enthalten in
Volume
119
Start Page
115
End Page
124
Citation
Computers and Structures (119): 115-124 (2013)
Publisher DOI
Scopus ID
Publisher
Elsevier
This paper improves the eigenpair approximations obtained from the automated multilevel substructuring (AMLS) method by subspace iterations. Two variants of AMLS hybrid Subspace Iteration Method (AMLS-SIMa and AMLS-SIMb) are proposed. AMLS-SIMa is a derivative of the basic subspace iteration by utilizing the AMLS approximations as initial vectors. AMLS-SIMb further takes advantage of the AMLS transformed block diagonal stiffness matrix to avoid factorization of the original stiffness matrix. Numerical experiments show that: (a) the error of AMLS approximate eigenpairs can be significantly reduced with just a few iteration steps; (b) AMLS-SIMb is more efficient than AMLS-SIMa with less execution time. © 2013 Elsevier Ltd. All rights reserved.
Schlagworte
AMLS
Eigenvalue
Eigenvector
Subspace iteration
DDC Class
004: Informatik
510: Mathematik