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    Heavy-Tailed Response of Structural Systems Subjected to Stochastic Excitation Containing Extreme Forcing Events

    Source: Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 009::page 90914
    Author:
    Kyul Joo, Han
    ,
    Mohamad, Mustafa A.
    ,
    Sapsis, Themistoklis P.
    DOI: 10.1115/1.4039309
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We characterize the complex, heavy-tailed probability density functions (pdfs) describing the response and its local extrema for structural systems subject to random forcing that includes extreme events. Our approach is based on recent probabilistic decomposition-synthesis (PDS) technique (Mohamad, M. A., Cousins, W., and Sapsis, T. P., 2016, “A Probabilistic Decomposition-Synthesis Method for the Quantification of Rare Events Due to Internal Instabilities,” J. Comput. Phys., 322, pp. 288–308), where we decouple rare event regimes from background fluctuations. The result of the analysis has the form of a semi-analytical approximation formula for the pdf of the response (displacement, velocity, and acceleration) and the pdf of the local extrema. For special limiting cases (lightly damped or heavily damped systems), our analysis provides fully analytical approximations. We also demonstrate how the method can be applied to high dimensional structural systems through a two-degrees-of-freedom (TDOF) example system undergoing extreme events due to intermittent forcing. The derived formulas can be evaluated with very small computational cost and are shown to accurately capture the complicated heavy-tailed and asymmetrical features in the probability distribution many standard deviations away from the mean, through comparisons with expensive Monte Carlo simulations.
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      Heavy-Tailed Response of Structural Systems Subjected to Stochastic Excitation Containing Extreme Forcing Events

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    contributor authorKyul Joo, Han
    contributor authorMohamad, Mustafa A.
    contributor authorSapsis, Themistoklis P.
    date accessioned2019-02-28T11:11:51Z
    date available2019-02-28T11:11:51Z
    date copyright7/26/2018 12:00:00 AM
    date issued2018
    identifier issn1555-1415
    identifier othercnd_013_09_090914.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253716
    description abstractWe characterize the complex, heavy-tailed probability density functions (pdfs) describing the response and its local extrema for structural systems subject to random forcing that includes extreme events. Our approach is based on recent probabilistic decomposition-synthesis (PDS) technique (Mohamad, M. A., Cousins, W., and Sapsis, T. P., 2016, “A Probabilistic Decomposition-Synthesis Method for the Quantification of Rare Events Due to Internal Instabilities,” J. Comput. Phys., 322, pp. 288–308), where we decouple rare event regimes from background fluctuations. The result of the analysis has the form of a semi-analytical approximation formula for the pdf of the response (displacement, velocity, and acceleration) and the pdf of the local extrema. For special limiting cases (lightly damped or heavily damped systems), our analysis provides fully analytical approximations. We also demonstrate how the method can be applied to high dimensional structural systems through a two-degrees-of-freedom (TDOF) example system undergoing extreme events due to intermittent forcing. The derived formulas can be evaluated with very small computational cost and are shown to accurately capture the complicated heavy-tailed and asymmetrical features in the probability distribution many standard deviations away from the mean, through comparisons with expensive Monte Carlo simulations.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleHeavy-Tailed Response of Structural Systems Subjected to Stochastic Excitation Containing Extreme Forcing Events
    typeJournal Paper
    journal volume13
    journal issue9
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4039309
    journal fristpage90914
    journal lastpage090914-12
    treeJournal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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