• DocumentCode
    1036857
  • Title

    The spectral density of a nonlinear damping model: multi-DOF case

  • Author

    Zhang, Weijian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • Volume
    39
  • Issue
    2
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    406
  • Lastpage
    410
  • Abstract
    In this work, the spectral density of the following multi-DOF nonlinear damping model is investigated: Mx¨+D0x˙+γD(x, x˙)+Kx=σn(t) where γ>0 is a small parameter. A formula for the spectral density is established with O(γ2) accuracy based upon the Fokker-Planck technique and perturbation. One of the features of the multi-DOF oscillation system is that x and x˙ are generally correlated in stationary state. This is true even for linear systems. Necessary and sufficient conditions for uncorrelatedness are given for linear systems. Since the first-order statistics Rxx(0) and Rxy(0), where y=x˙, appear in the spectral density formula, it is desirable to have the explicit stationary probability density for the purpose of evaluating Rxx(0) and Rxy (0). However, in general, as in the single DOF case, an expression for the stationary density is not available. This note gives the explicit stationary density of an “energy”-type nonlinear damping model Mx¨+μ(ED)Dx˙+Kx=σn(t) in which the “energy” ED is defined as ED=1/2(x TKDx+yTMDy) where D>0 is assumed to commute with K and M. In the end, an energy-type nonlinear damping model is worked out completely as an illustration
  • Keywords
    damping; distributed parameter systems; nonlinear systems; probability; statistical analysis; Fokker-Planck technique; explicit stationary probability density; first-order statistics; linear systems; multi-DOF oscillation system; necessary and sufficient conditions; nonlinear damping model; perturbation; spectral density; uncorrelatedness; Computer aided software engineering; Covariance matrix; Damping; Flexible structures; Linear systems; Probability; Stationary state; Statistics; Sufficient conditions; White noise;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.272345
  • Filename
    272345