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International Journal of Fluid Mechanics Research

Publicou 6 edições por ano

ISSN Imprimir: 2152-5102

ISSN On-line: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

The Reliability of Structures with Uncertain Parameters Excited by the Wind

Volume 29, Edição 3&4, 2002, 10 pages
DOI: 10.1615/InterJFluidMechRes.v29.i3-4.220
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RESUMO

The present paper discusses a probabilistic model of the gust buffeting of structures under wind loads that takes into account the uncertainties inherent the estimates of the atmospheric turbulence, structural, aerodynamic parameters and the randomness of the wind velocity. The first part gives a general frame of different propagation techniques of the uncertainties over the response. Starting from statistical models of the input parameters and applying a closed form solution of the wind-excited response, the statistical moments of the structural motion arc obtained as a function of the mean wind velocity showing a considerable scattering of the results. The second part of the paper carries out reliability analyses. An approximate expression of the probability density function of the maximum structural response is obtained in which the random nature of the wind velocity has the effect of mitigating the propagation of the uncertainties of the other parameters.

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