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dc.date.accessioned 2020-04-30T19:17:14Z
dc.date.available 2020-04-30T19:17:14Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/94711
dc.description.abstract The application of computer fluid dynamics to the estimation of a stochastic wind loading model for vibration analysis of flexible buildings is studied in this paper. Large-Eddy-Simulation with random turbulence field as inflow boundary condition is used for estimating along the wind forces, across the wind forces and torsional moments along the height of the building. The stochastic turbulence of the inlet flow is modeled using techniques proposed in the literature and variations suggested by the authors, and along the wind and along the wind forces and torsional moments applied along the building height are estimated with sampled random processes resulting from the CFD analyses. The application of this numerical technique during the design stage of a concrete-wall 36-storey building with a parallelogram-shape plan is described. This structure is prone to high floor accelerations due to wind loading, compromising occupant comfort. The construction of random loading models for this building considering time and space correlation of forces and torsional moments is discussed and the use of the random loading to the design process of supplemental damping devices for the building is described. en
dc.format.extent 595-618 es
dc.language en es
dc.subject Wind es
dc.subject Turbulence es
dc.subject Large eddy simulation es
dc.subject Structural vibrations es
dc.title Stochastic wind-load model for building vibration estimation using large-eddy cfd simulation and random turbulenc flow generation algorithms en
dc.type Objeto de conferencia es
sedici.identifier.uri https://cimec.org.ar/ojs/index.php/mc/article/view/5289 es
sedici.identifier.issn 2591-3522 es
sedici.creator.person Inaudi, José A. es
sedici.creator.person Sacco, Carlos G. es
sedici.description.note Publicado en: Mecánica Computacional vol. XXXV, no. 12 es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Objeto de conferencia 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) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)