Yin, JiacongJiacongYinVoß, HeinrichHeinrichVoßChen, PuPuChen2020-07-292020-07-292013-02-28Computers and Structures (119): 115-124 (2013)http://hdl.handle.net/11420/6911This 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.en0045-79492013115124ElsevierAMLSEigenvalueEigenvectorSubspace iterationInformatikMathematikJournal Article10.1016/j.compstruc.2013.01.004Other