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Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building

This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring. As for the ambient vibration testing, measured structural respons...

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Detalles Bibliográficos
Autores principales: Min, Kyung-Won, Kim, Junhee, Park, Sung-Ah, Park, Chan-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817661/
https://www.ncbi.nlm.nih.gov/pubmed/24227999
http://dx.doi.org/10.1155/2013/198483
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author Min, Kyung-Won
Kim, Junhee
Park, Sung-Ah
Park, Chan-Soo
author_facet Min, Kyung-Won
Kim, Junhee
Park, Sung-Ah
Park, Chan-Soo
author_sort Min, Kyung-Won
collection PubMed
description This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring. As for the ambient vibration testing, measured structural responses are analyzed by two output-only system identification methods (i.e., frequency domain decomposition and stochastic subspace identification) to estimate modal parameters. The proposed methodology of story stiffness is estimation based on an eigenvalue problem derived from a vibratory rigid body model. Using the identified natural frequencies, the eigenvalue problem is efficiently solved and uniquely yields story stiffness. It is noteworthy that application of the proposed methodology is not necessarily confined to the wooden structure exampled in the paper.
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spelling pubmed-38176612013-11-13 Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building Min, Kyung-Won Kim, Junhee Park, Sung-Ah Park, Chan-Soo ScientificWorldJournal Research Article This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring. As for the ambient vibration testing, measured structural responses are analyzed by two output-only system identification methods (i.e., frequency domain decomposition and stochastic subspace identification) to estimate modal parameters. The proposed methodology of story stiffness is estimation based on an eigenvalue problem derived from a vibratory rigid body model. Using the identified natural frequencies, the eigenvalue problem is efficiently solved and uniquely yields story stiffness. It is noteworthy that application of the proposed methodology is not necessarily confined to the wooden structure exampled in the paper. Hindawi Publishing Corporation 2013-10-08 /pmc/articles/PMC3817661/ /pubmed/24227999 http://dx.doi.org/10.1155/2013/198483 Text en Copyright © 2013 Kyung-Won Min et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Min, Kyung-Won
Kim, Junhee
Park, Sung-Ah
Park, Chan-Soo
Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title_full Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title_fullStr Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title_full_unstemmed Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title_short Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building
title_sort ambient vibration testing for story stiffness estimation of a heritage timber building
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817661/
https://www.ncbi.nlm.nih.gov/pubmed/24227999
http://dx.doi.org/10.1155/2013/198483
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