Publisher DOI: 10.1016/j.compstruc.2013.01.004
Title: Improving eigenpairs of automated multilevel substructuring with subspace iterations
Language: English
Authors: Yin, Jiacong 
Voß, Heinrich 
Chen, Pu 
Keywords: AMLS;Eigenvalue;Eigenvector;Subspace iteration
Issue Date: 28-Feb-2013
Publisher: Elsevier
Source: Computers and Structures (119): 115-124 (2013)
Journal or Series Name: Computers & structures 
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
Institute: Mathematik E-10 
Type: (wissenschaftlicher) Artikel
Appears in Collections:Publications without fulltext

Show full item record

Page view(s)

13
Last Week
3
Last month
checked on Aug 12, 2020

Google ScholarTM

Check

Add Files to Item

Note about this record

Export

Items in TORE are protected by copyright, with all rights reserved, unless otherwise indicated.