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Improving eigenpairs of automated multilevel substructuring with subspace iterations
Yin, Jiacong ; Voss, Heinrich ; Chen, Pu
刊名计算机与结构
2013
关键词Eigenvalue Eigenvector AMLS Subspace iteration GENERALIZED EIGENPROBLEMS INVERSE ITERATION COMPUTATION
DOI10.1016/j.compstruc.2013.01.004
英文摘要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. (C) 2013 Elsevier Ltd. All rights reserved.; Computer Science, Interdisciplinary Applications; Engineering, Civil; SCI(E); EI; 3; ARTICLE; 115-124; 119
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/154498]  
专题工学院
推荐引用方式
GB/T 7714
Yin, Jiacong,Voss, Heinrich,Chen, Pu. Improving eigenpairs of automated multilevel substructuring with subspace iterations[J]. 计算机与结构,2013.
APA Yin, Jiacong,Voss, Heinrich,&Chen, Pu.(2013).Improving eigenpairs of automated multilevel substructuring with subspace iterations.计算机与结构.
MLA Yin, Jiacong,et al."Improving eigenpairs of automated multilevel substructuring with subspace iterations".计算机与结构 (2013).
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