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Estimation of modal correlation coefficients in wind buffeting spectral analysis
Geuzaine, Margaux; Denoël, Vincent
20192nd Romanian National Conference on Wind Engineering
 

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Keywords :
correlation; complete quadratic combination; multiple timescale spectral analysis
Abstract :
[en] The dynamic response of large and slightly damped civil engineering structures subjected to buffeting winds is usually studied in the modal basis and in the frequency domain. These choices respectively reduce the analysis to a few modes instead of many degrees-of-freedom and provide a simple estimation of the statistics of the modal responses as a sum of background and resonant components, avoiding generation of long time series. In many cases, the proper combination of modal responses, which is necessary to estimate design quantities, requires taking account of the correlation between the modal responses. This paper provides a review of available techniques to estimate the covariances of modal responses with the same objectives of rapidity and accuracy as the background-resonant decomposition, developed by Davenport for the computation of variances.
Research center :
Structural and Stochastic Dynamics, Structural Engineering, Urban and Environmental Engineering
Disciplines :
Civil engineering
Author, co-author :
Geuzaine, Margaux  ;  Université de Liège - ULiège > Département ArGEnCo > Analyse sous actions aléatoires en génie civil
Denoël, Vincent  ;  Université de Liège - ULiège > Département ArGEnCo > Analyse sous actions aléatoires en génie civil
Language :
English
Title :
Estimation of modal correlation coefficients in wind buffeting spectral analysis
Publication date :
06 June 2019
Event name :
2nd Romanian National Conference on Wind Engineering
Event organizer :
Romanian Association for Wind Engineering
Event place :
Bucharest, Romania
Event date :
06/06/2019 - 07/06/2019
Audience :
International
References of the abstract :
Proceedings of the 2nd Romanian National Conference on Wind Engineering
Funders :
Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA
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since 19 June 2019

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