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    Response Power Spectrum of Multi-Degree-of-Freedom Nonlinear Systems by a Galerkin Technique

    Source: Journal of Applied Mechanics:;2003:;volume( 070 ):;issue: 005::page 708
    Author:
    G. Failla
    ,
    Doctor of Philosophy
    ,
    P. D. Spanos
    ,
    Fellow
    ,
    ASME
    ,
    M. Di Paola
    DOI: 10.1115/1.1599916
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper deals with the estimation of spectral properties of randomly excited multi-degree-of-freedom (MDOF) nonlinear vibrating systems. Each component of the vector of the stationary system response is expanded into a trigonometric Fourier series over an adequately long interval T. The unknown Fourier coefficients of individual samples of the response process are treated by harmonic balance, which leads to a set of nonlinear equations that are solved by Newton’s method. For polynomial nonlinearities of cubic order, exact solutions are developed to compute the Fourier coefficients of the nonlinear terms, including those involved in the Jacobian matrix associated with the implementation of Newton’s method. The proposed technique is also applicable for arbitrary nonlinearities via a cubicization procedure over the interval T. Upon determining the Fourier coefficients, estimates of the response power spectral density matrix are constructed by averaging their squared moduli over the samples ensemble. Examples of application prove the reliability of the technique by comparison with digital simulation data.
    keyword(s): Spectra (Spectroscopy) , Spectral energy distribution , Nonlinear systems , Newton's method , Polynomials , Fourier series , Equations , Computer simulation , Functions , Nonlinear equations , Jacobian matrices AND Reliability ,
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      Response Power Spectrum of Multi-Degree-of-Freedom Nonlinear Systems by a Galerkin Technique

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    https://yetl.yabesh.ir/yetl1/handle/yetl/127825
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    contributor authorG. Failla
    contributor authorDoctor of Philosophy
    contributor authorP. D. Spanos
    contributor authorFellow
    contributor authorASME
    contributor authorM. Di Paola
    date accessioned2017-05-09T00:09:17Z
    date available2017-05-09T00:09:17Z
    date copyrightSeptember, 2003
    date issued2003
    identifier issn0021-8936
    identifier otherJAMCAV-26564#708_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/127825
    description abstractThis paper deals with the estimation of spectral properties of randomly excited multi-degree-of-freedom (MDOF) nonlinear vibrating systems. Each component of the vector of the stationary system response is expanded into a trigonometric Fourier series over an adequately long interval T. The unknown Fourier coefficients of individual samples of the response process are treated by harmonic balance, which leads to a set of nonlinear equations that are solved by Newton’s method. For polynomial nonlinearities of cubic order, exact solutions are developed to compute the Fourier coefficients of the nonlinear terms, including those involved in the Jacobian matrix associated with the implementation of Newton’s method. The proposed technique is also applicable for arbitrary nonlinearities via a cubicization procedure over the interval T. Upon determining the Fourier coefficients, estimates of the response power spectral density matrix are constructed by averaging their squared moduli over the samples ensemble. Examples of application prove the reliability of the technique by comparison with digital simulation data.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleResponse Power Spectrum of Multi-Degree-of-Freedom Nonlinear Systems by a Galerkin Technique
    typeJournal Paper
    journal volume70
    journal issue5
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.1599916
    journal fristpage708
    journal lastpage714
    identifier eissn1528-9036
    keywordsSpectra (Spectroscopy)
    keywordsSpectral energy distribution
    keywordsNonlinear systems
    keywordsNewton's method
    keywordsPolynomials
    keywordsFourier series
    keywordsEquations
    keywordsComputer simulation
    keywordsFunctions
    keywordsNonlinear equations
    keywordsJacobian matrices AND Reliability
    treeJournal of Applied Mechanics:;2003:;volume( 070 ):;issue: 005
    contenttypeFulltext
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