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dc.date.accessioned 2020-09-04T12:24:13Z
dc.date.available 2020-09-04T12:24:13Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/103830
dc.description.abstract Operational Modal Analysis (OMA) consist in finding the dynamic characteristic of a structure through its modal parameters using output-only signals. Differently from the classical approach of Experimental Modal Analysis (EMA), where the input signal are also measured, OMA only uses the stochastic nature of the inputs, assumed to be random due the ambient conditions. An important application of this technique appears in the model validation, where numerical and experimental results are compared (Brincker and Ventura, 2015).Because of the large size of bridges, the identification of this kind of structures are restricted to operational modal analysis. Output-only methods are necessary since a controlled input is usually hard and expensive to apply. Also, the ambient forces such as wind, waves, traffic and ground motion can notbe eliminated. The advantage of OMA when compared to EMA is that those forces do not need to be measured and quantified.In this paper, the stochastic subspace identification method is used to characterize the dynamic behavior of a small bridge model under wind load (Overschee and Moor, 1996)(Wagner et al., 2017). The identified natural frequencies and mode shapes are used to validate its finite element model, specially regarding the imposed boundary conditions (clamp-clamp). In reality, those conditions are uncertain and need to be taken into account to improve the predictability of the model (Ritto et al., 2008)(Ritto et al.,2016). The clamp condition is changed into a free condition with displacements and torsional linear springs, where the uncertainties parameters are the respective stiffnesses. en
dc.format.extent 1249-1249 es
dc.language en es
dc.subject Operational modal analysis es
dc.subject Dynamics es
dc.subject Bridge structures es
dc.title Finite element updating of a bridge model using operational modal analysis en
dc.type Objeto de conferencia es
sedici.identifier.uri https://cimec.org.ar/ojs/index.php/mc/article/view/5344 es
sedici.identifier.issn 2591-3522 es
sedici.creator.person Wagner, Gustavo es
sedici.creator.person Milheiro, Pablo es
sedici.creator.person Lima, Roberta es
sedici.creator.person Sampaio, Rubens es
sedici.description.note Publicado en: Mecánica Computacional vol. XXXV, no. 22 es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Resumen es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-11
sedici.relation.event XXIII Congreso de Métodos Numéricos y sus Aplicaciones (ENIEF) (La Plata, noviembre 2017) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)