• 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