Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms

Autores
Inaudi, Jose A.; Sacco, Carlos G.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.
Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.
Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.
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.
Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.
Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.
Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.
Ingeniería Estructural
Materia
Vibraciones debidas a viento
Mecanica de fluidos computacional
Procesos aleatorios
Disipación de energía
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/555397
Acceder
id RDUUNC_8f3ef5f72587712322dbcdb60e9b617d
oai_identifier_str oai:rdu.unc.edu.ar:11086/555397
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation AlgorithmsInaudi, Jose A.Sacco, Carlos G.Vibraciones debidas a vientoMecanica de fluidos computacionalProcesos aleatoriosDisipación de energíaFil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.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.Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.Ingeniería Estructural2017info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/11086/555397enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-04T12:34:34Zoai:rdu.unc.edu.ar:11086/555397Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-04 12:34:34.553Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
title Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
spellingShingle Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
Inaudi, Jose A.
Vibraciones debidas a viento
Mecanica de fluidos computacional
Procesos aleatorios
Disipación de energía
title_short Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
title_full Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
title_fullStr Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
title_full_unstemmed Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
title_sort Stochastic wind-load model for building vibration estimation using large-eddy CFD simulation and random turbulence Flow generation Algorithms
dc.creator.none.fl_str_mv Inaudi, Jose A.
Sacco, Carlos G.
author Inaudi, Jose A.
author_facet Inaudi, Jose A.
Sacco, Carlos G.
author_role author
author2 Sacco, Carlos G.
author2_role author
dc.subject.none.fl_str_mv Vibraciones debidas a viento
Mecanica de fluidos computacional
Procesos aleatorios
Disipación de energía
topic Vibraciones debidas a viento
Mecanica de fluidos computacional
Procesos aleatorios
Disipación de energía
dc.description.none.fl_txt_mv Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.
Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.
Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.
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.
Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.
Fil: Inaudi, Jose A. Sirve Argentina Engineering Consulting; Argentina.
Fil: Sacco, Carlos G. Instituto Universitario Aeronáutico. Facultad de Ingeniería. Departamento de Mecánica Aeronáutica; Argentina.
Ingeniería Estructural
description Fil: Inaudi, Jose A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Aeronáutica; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11086/555397
url http://hdl.handle.net/11086/555397
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 13.13397

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