کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
510629 | 865778 | 2013 | 10 صفحه PDF | دانلود رایگان |
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.
► The error of AMLS eigenvector approximations is reported.
► Two subspace iteration methods (AMLS-SIMa and AMLS-SIMb) are proposed to improve the standard AMLS.
► The error of AMLS eigenvector approximations is greatly reduced with a few subspace iterations.
► AMLS-SIMb is more efficient than AMLS-SIMa with less execution time.
► AMLS-SIMa and AMLS-SIMb are compared with the basic subspace iteration method (BSIM) and an improve subspace iteration method (ISIM).
Journal: Computers & Structures - Volume 119, 1 April 2013, Pages 115–124