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Prediction of extreme response statistics of narrow-band random vibrations / Arvid Naess in Journal of engineering mechanics, Vol. 136 N° 3 (Mars 2010) 

Public ISBD [article]  in Journal of engineering mechanics > Vol. 136 N° 3 (Mars 2010) . - pp. 290-298 Titre : Prediction of extreme response statistics of narrow-band random vibrations Type de document : texte imprimé Auteurs : Arvid Naess, Auteur ; O. Gaidai, Auteur ; Batsevych, O., Auteur Article en page(s) : pp. 290-298 Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Engineering  mechanics  Dynamics  response  Structural  reliability  Nonlinear  analysis  Random  processes  Predictions  Statistics. Résumé : The paper focuses on the development of a general method for extreme response estimation of dynamical systems subjected to random excitations. One of the most important elements in structural safety is an assessment of the exceedance or failure probability. The frequently used Poisson assumption tends to overestimate the exceedance level if the response spectrum has narrow-banded features since the so-called clustering effects occur. The latter inaccuracy may be corrected by using an alternative approach studied in this paper, which enables accurate prediction of extremes irrespective of clustering effects. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JENMDT000 [...] [article] Prediction of extreme response statistics of narrow-band random vibrations [texte imprimé] / Arvid Naess, Auteur ; O. Gaidai, Auteur ; Batsevych, O., Auteur . - pp. 290-298. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 136 N° 3 (Mars 2010) . - pp. 290-298 Mots-clés : Engineering  mechanics  Dynamics  response  Structural  reliability  Nonlinear  analysis  Random  processes  Predictions  Statistics. Résumé : The paper focuses on the development of a general method for extreme response estimation of dynamical systems subjected to random excitations. One of the most important elements in structural safety is an assessment of the exceedance or failure probability. The frequently used Poisson assumption tends to overestimate the exceedance level if the response spectrum has narrow-banded features since the so-called clustering effects occur. The latter inaccuracy may be corrected by using an alternative approach studied in this paper, which enables accurate prediction of extremes irrespective of clustering effects. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JENMDT000 [...]