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    Peak response of non-linear oscillators under stationary white noise

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    Publication date
    2007
    Author
    Muscolino, G.
    Palmeri, Alessandro
    Keyword
    Cencored Closure
    Computational Stochastic Mechanics
    First Passage Time
    Gumbel Distribution
    Poisson Approach
    Random Vibration
    Reliability Analysis
    Stochastic Averaging
    Rights
    © 2007 Elsevier Ltd. Reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    The use of the Advanced Censored Closure (ACC) technique, recently proposed by the authors for predicting the peak response of linear structures vibrating under random processes, is extended to the case of non-linear oscillators driven by stationary white noise. The proposed approach requires the knowledge of mean upcrossing rate and spectral bandwidth of the response process, which in this paper are estimated through the Stochastic Averaging method. Numerical applications to oscillators with non-linear stiffness and damping are included, and the results are compared with those given by Monte Carlo Simulation and by other approximate formulations available in the literature.
    URI
    http://hdl.handle.net/10454/601
    Citation
    Muscolino, G. and A. Palmeri (2007). Peak response of non-linear oscillators under stationary white noise. Computers and Structures. Vol. 85, No. 5-6, pp. 255-263.
    Link to publisher’s version
    http://dx.doi.org/10.1016/j.compstruc.2006.10.005
    Type
    Article
    Collections
    Engineering and Informatics Publications

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