|Publisher DOI:||10.1016/j.compstruc.2013.01.004||Title:||Improving eigenpairs of automated multilevel substructuring with subspace iterations||Language:||English||Authors:||Yin, Jiacong
|Keywords:||AMLS; Eigenvalue; Eigenvector; Subspace iteration||Issue Date:||28-Feb-2013||Publisher:||Elsevier||Source:||Computers and Structures (119): 115-124 (2013)||Abstract (english):||
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.
|URI:||http://hdl.handle.net/11420/6911||ISSN:||0045-7949||Journal:||Computers & structures||Institute:||Mathematik E-10||Document Type:||Article|
|Appears in Collections:||Publications without fulltext|
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