Peak response of a nonlinear beam / Massimiliano Gioffrè in Journal of engineering mechanics, Vol. 133 N°9 (Septembre 2007)

Public ISBD [article]  inJournal of engineering mechanics > Vol. 133 N°9 (Septembre 2007) . - pp.963–969. Titre : Peak response of a nonlinear beam Type de document : texte imprimé Auteurs : Massimiliano Gioffrè, Auteur ; Vittorio Gusella, Auteur Année de publication : 2007 Article en page(s) : pp.963–969. Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Beams, Dynamic structural analysis, Nonlinear systems, response Random processes Stochastic models Distribution functions Résumé : A model for estimating the peak dynamic response distribution of a nonlinear beam, based on a special class of non-Gaussian stochastic processes, is proposed in this paper. It is shown that the stochastic response of a cantilever beam with geometrically nonlinear behavior can be accurately calibrated with translation processes. Different models to describe the significant bimodal features in the marginal probability density functions of the response time histories are proposed. Finally, two of these models are used to estimate the response peak value distributions and the results are compared. This comparison demonstrates the effects of inaccurate models for the parent response processes on the peaks estimation ISSN : 0733-9399 [article] Peak response of a nonlinear beam [texte imprimé] / Massimiliano Gioffrè, Auteur ; Vittorio Gusella, Auteur . - 2007 . - pp.963–969. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 133 N°9 (Septembre 2007) . - pp.963–969. Mots-clés : Beams, Dynamic structural analysis, Nonlinear systems, response Random processes Stochastic models Distribution functions Résumé : A model for estimating the peak dynamic response distribution of a nonlinear beam, based on a special class of non-Gaussian stochastic processes, is proposed in this paper. It is shown that the stochastic response of a cantilever beam with geometrically nonlinear behavior can be accurately calibrated with translation processes. Different models to describe the significant bimodal features in the marginal probability density functions of the response time histories are proposed. Finally, two of these models are used to estimate the response peak value distributions and the results are compared. This comparison demonstrates the effects of inaccurate models for the parent response processes on the peaks estimation ISSN : 0733-9399

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