Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading
- Autores
- Inaudi, José A.; Rendel, Michael; Vial, Ignacio
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- During wind events, tall buildings may exhibit floor accelerations levels that compromise occupant comfort. The use of energy dissipating devices to reduce peak floor accelerations is a sound strategy to improve building performance. The estimation of mean peak floor accelerations of a steel-frame building subjected to random wind forces and the design procedure of supplemental nonlinear viscous dampers to improve occupant comfort in one-year recurrence wind events are described in this paper. A stochastic wind load model is developed to estimate acceleration performance; drag, lift and torsional moments at each story are defined as random stationary processes by the definition of their cross-spectral density matrix. Wind tunnel results and computational fluid dynamic analyses are used to fine-tune the stochastic load models. Reduced-order structural models of the tower are developed to estimate the frequency response function from floor loadings to floor accelerations at corners points of the buildings. Statistical linearization is used to estimate the performance of the buildings with non-linear viscous dampers installed in different configurations. Floor acceleration reductions achieved with supplemental viscous dampers and a tuned mass damper are evaluated to comply with occupant performance standards.
Publicado en: Mecánica Computacional vol. XXXV, no. 12
Facultad de Ingeniería - Materia
-
Ingeniería
wind
Vibration
Damping
Statistical linearization
Random processes
Structural dynamics - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/94709
Ver los metadatos del registro completo
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Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loadingInaudi, José A.Rendel, MichaelVial, IgnacioIngenieríawindVibrationDampingStatistical linearizationRandom processesStructural dynamicsDuring wind events, tall buildings may exhibit floor accelerations levels that compromise occupant comfort. The use of energy dissipating devices to reduce peak floor accelerations is a sound strategy to improve building performance. The estimation of mean peak floor accelerations of a steel-frame building subjected to random wind forces and the design procedure of supplemental nonlinear viscous dampers to improve occupant comfort in one-year recurrence wind events are described in this paper. A stochastic wind load model is developed to estimate acceleration performance; drag, lift and torsional moments at each story are defined as random stationary processes by the definition of their cross-spectral density matrix. Wind tunnel results and computational fluid dynamic analyses are used to fine-tune the stochastic load models. Reduced-order structural models of the tower are developed to estimate the frequency response function from floor loadings to floor accelerations at corners points of the buildings. Statistical linearization is used to estimate the performance of the buildings with non-linear viscous dampers installed in different configurations. Floor acceleration reductions achieved with supplemental viscous dampers and a tuned mass damper are evaluated to comply with occupant performance standards.Publicado en: <i>Mecánica Computacional</i> vol. XXXV, no. 12Facultad de Ingeniería2017-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf567-594http://sedici.unlp.edu.ar/handle/10915/94709enginfo:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/5288info:eu-repo/semantics/altIdentifier/issn/2591-3522info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:19:47Zoai:sedici.unlp.edu.ar:10915/94709Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:19:47.272SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
title |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
spellingShingle |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading Inaudi, José A. Ingeniería wind Vibration Damping Statistical linearization Random processes Structural dynamics |
title_short |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
title_full |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
title_fullStr |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
title_full_unstemmed |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
title_sort |
Nonlinear viscous damping and tuned mass damper design for occupant comfort in flexible tall buildings subjected to wind loading |
dc.creator.none.fl_str_mv |
Inaudi, José A. Rendel, Michael Vial, Ignacio |
author |
Inaudi, José A. |
author_facet |
Inaudi, José A. Rendel, Michael Vial, Ignacio |
author_role |
author |
author2 |
Rendel, Michael Vial, Ignacio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ingeniería wind Vibration Damping Statistical linearization Random processes Structural dynamics |
topic |
Ingeniería wind Vibration Damping Statistical linearization Random processes Structural dynamics |
dc.description.none.fl_txt_mv |
During wind events, tall buildings may exhibit floor accelerations levels that compromise occupant comfort. The use of energy dissipating devices to reduce peak floor accelerations is a sound strategy to improve building performance. The estimation of mean peak floor accelerations of a steel-frame building subjected to random wind forces and the design procedure of supplemental nonlinear viscous dampers to improve occupant comfort in one-year recurrence wind events are described in this paper. A stochastic wind load model is developed to estimate acceleration performance; drag, lift and torsional moments at each story are defined as random stationary processes by the definition of their cross-spectral density matrix. Wind tunnel results and computational fluid dynamic analyses are used to fine-tune the stochastic load models. Reduced-order structural models of the tower are developed to estimate the frequency response function from floor loadings to floor accelerations at corners points of the buildings. Statistical linearization is used to estimate the performance of the buildings with non-linear viscous dampers installed in different configurations. Floor acceleration reductions achieved with supplemental viscous dampers and a tuned mass damper are evaluated to comply with occupant performance standards. Publicado en: <i>Mecánica Computacional</i> vol. XXXV, no. 12 Facultad de Ingeniería |
description |
During wind events, tall buildings may exhibit floor accelerations levels that compromise occupant comfort. The use of energy dissipating devices to reduce peak floor accelerations is a sound strategy to improve building performance. The estimation of mean peak floor accelerations of a steel-frame building subjected to random wind forces and the design procedure of supplemental nonlinear viscous dampers to improve occupant comfort in one-year recurrence wind events are described in this paper. A stochastic wind load model is developed to estimate acceleration performance; drag, lift and torsional moments at each story are defined as random stationary processes by the definition of their cross-spectral density matrix. Wind tunnel results and computational fluid dynamic analyses are used to fine-tune the stochastic load models. Reduced-order structural models of the tower are developed to estimate the frequency response function from floor loadings to floor accelerations at corners points of the buildings. Statistical linearization is used to estimate the performance of the buildings with non-linear viscous dampers installed in different configurations. Floor acceleration reductions achieved with supplemental viscous dampers and a tuned mass damper are evaluated to comply with occupant performance standards. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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conferenceObject |
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publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/94709 |
url |
http://sedici.unlp.edu.ar/handle/10915/94709 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/5288 info:eu-repo/semantics/altIdentifier/issn/2591-3522 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 567-594 |
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