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    Lyapunov Exponents and Stochastic Stability of Two-Dimensional Parametrically Excited Random Systems

    Source: Journal of Applied Mechanics:;1993:;volume( 060 ):;issue: 003::page 677
    Author:
    S. T. Ariaratnam
    ,
    Wei-Chau Xie
    DOI: 10.1115/1.2900857
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The variation of the largest Lyapunov exponent for two-dimensional parametrically excited stochastic systems is studied by a method of linear transformation. The sensitivity to random disturbance of systems undergoing bifurcation is investigated. Two commonly occurring examples in structural dynamics are considered, where the random fluctuation appears in the stiffness term or the damping term. The boundaries of almost-sure stochastic stability are determined by the vanishing of the largest Lyapunov exponent of the linearized system. The validity of the approximate results is checked by numerical simulation.
    keyword(s): Stability , Computer simulation , Structural dynamics , Damping , Bifurcation , Stiffness AND Stochastic systems ,
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      Lyapunov Exponents and Stochastic Stability of Two-Dimensional Parametrically Excited Random Systems

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/111387
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    contributor authorS. T. Ariaratnam
    contributor authorWei-Chau Xie
    date accessioned2017-05-08T23:40:27Z
    date available2017-05-08T23:40:27Z
    date copyrightSeptember, 1993
    date issued1993
    identifier issn0021-8936
    identifier otherJAMCAV-26350#677_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/111387
    description abstractThe variation of the largest Lyapunov exponent for two-dimensional parametrically excited stochastic systems is studied by a method of linear transformation. The sensitivity to random disturbance of systems undergoing bifurcation is investigated. Two commonly occurring examples in structural dynamics are considered, where the random fluctuation appears in the stiffness term or the damping term. The boundaries of almost-sure stochastic stability are determined by the vanishing of the largest Lyapunov exponent of the linearized system. The validity of the approximate results is checked by numerical simulation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleLyapunov Exponents and Stochastic Stability of Two-Dimensional Parametrically Excited Random Systems
    typeJournal Paper
    journal volume60
    journal issue3
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.2900857
    journal fristpage677
    journal lastpage682
    identifier eissn1528-9036
    keywordsStability
    keywordsComputer simulation
    keywordsStructural dynamics
    keywordsDamping
    keywordsBifurcation
    keywordsStiffness AND Stochastic systems
    treeJournal of Applied Mechanics:;1993:;volume( 060 ):;issue: 003
    contenttypeFulltext
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