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 :
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