DocumentCode
3154626
Title
The eigenvalue and eigenvector errors using model reduction techniques
Author
Eltayeb, Elnagi ; Huang, Qibai
Author_Institution
State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
16-18 April 2011
Firstpage
5382
Lastpage
5385
Abstract
Methods of reduced order model are widely applied in reduction of degree of freedom of large finite element models, the static condensation method used for fast computation of natural frequencies and mode shapes exactly in low frequency. The improve reduce system (IRS) method produces a reduced model which more accurate estimated the modal model of the full system, Rayleigh Ritz vector is a most general technique for finding approximations to the lowest eigenvalue and corresponding eigenvectors. In this paper a comparison between IRS, Ritz and condensation is presented, numerical example applied for three methods, IRS is strongly has agreement with FEM.
Keywords
Rayleigh-Ritz methods; eigenvalues and eigenfunctions; error analysis; finite element analysis; reduced order systems; Rayleigh Ritz vector; eigenvalue errors; eigenvector errors; finite element models; improve reduce system method; model reduction techniques; reduced order model; static condensation method; Approximation methods; Eigenvalues and eigenfunctions; Equations; Finite element methods; Mathematical model; Numerical models; Optimization; FEM; IRS; Rayleigh Ritz; eigenvalue; eigenvector; errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768558
Filename
5768558
Link To Document