Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video

This study proposes the use of a high-speed camera as a holographic visual sensor to obtain the dense full-field dynamic parameters of the main beam of a bridge by the field of view through uniaxial rotation photography. Based on the basic principle that the frequency and mode of a structure are inh...

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Autores principales:	Guojun Deng, Zhixiang Zhou, Shuai Shao, Xi Chu, Peng Du
Formato:	article
Lenguaje:	EN
Publicado:	Vilnius Gediminas Technical University 2021
Materias:	structural health monitoring holographic visual sensor uniaxial rotation photography structural damage identification Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/121be11ad8044f8bb69ffc08560e7b5e
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id	oai:doaj.org-article:121be11ad8044f8bb69ffc08560e7b5e
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spelling	oai:doaj.org-article:121be11ad8044f8bb69ffc08560e7b5e2021-11-23T14:19:05ZNovel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video1392-37301822-360510.3846/jcem.2021.15797https://doaj.org/article/121be11ad8044f8bb69ffc08560e7b5e2021-11-01T00:00:00Zhttps://journals.vgtu.lt/index.php/JCEM/article/view/15797https://doaj.org/toc/1392-3730https://doaj.org/toc/1822-3605This study proposes the use of a high-speed camera as a holographic visual sensor to obtain the dense full-field dynamic parameters of the main beam of a bridge by the field of view through uniaxial rotation photography. Based on the basic principle that the frequency and mode of a structure are inherent characteristics, the mode coordinates obtained from each field of view are unified, normalized, and matched according to the same name pixels to obtain the dense fullfield dynamic parameters of the entire bridge. The frequency and first three order modes of a self-anchored suspension test bridge are collected by the method proposed in this study. The frequency comparison between the accelerometers and dial gauges is within 3%, and the mode shapes are more holographic and more realistic than those obtained by limited measuring points. In addition, the difference in the curvature mode under various damage conditions obtained by limited measurement points is compared with that obtained by the method proposed in this study. Results shows that the dense full-field modal curvature difference can reflect the change in the damage location even in a low order, which means the sensitivity of the change of damage location in low-order modal.Guojun DengZhixiang ZhouShuai ShaoXi ChuPeng DuVilnius Gediminas Technical Universityarticlestructural health monitoringholographic visual sensoruniaxial rotation photographystructural damage identificationBuilding constructionTH1-9745ENJournal of Civil Engineering and Management, Vol 27, Iss 8, Pp 617-636 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	structural health monitoring holographic visual sensor uniaxial rotation photography structural damage identification Building construction TH1-9745
spellingShingle	structural health monitoring holographic visual sensor uniaxial rotation photography structural damage identification Building construction TH1-9745 Guojun Deng Zhixiang Zhou Shuai Shao Xi Chu Peng Du Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
description	This study proposes the use of a high-speed camera as a holographic visual sensor to obtain the dense full-field dynamic parameters of the main beam of a bridge by the field of view through uniaxial rotation photography. Based on the basic principle that the frequency and mode of a structure are inherent characteristics, the mode coordinates obtained from each field of view are unified, normalized, and matched according to the same name pixels to obtain the dense fullfield dynamic parameters of the entire bridge. The frequency and first three order modes of a self-anchored suspension test bridge are collected by the method proposed in this study. The frequency comparison between the accelerometers and dial gauges is within 3%, and the mode shapes are more holographic and more realistic than those obtained by limited measuring points. In addition, the difference in the curvature mode under various damage conditions obtained by limited measurement points is compared with that obtained by the method proposed in this study. Results shows that the dense full-field modal curvature difference can reflect the change in the damage location even in a low order, which means the sensitivity of the change of damage location in low-order modal.
format	article
author	Guojun Deng Zhixiang Zhou Shuai Shao Xi Chu Peng Du
author_facet	Guojun Deng Zhixiang Zhou Shuai Shao Xi Chu Peng Du
author_sort	Guojun Deng
title	Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
title_short	Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
title_full	Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
title_fullStr	Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
title_full_unstemmed	Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
title_sort	novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video
publisher	Vilnius Gediminas Technical University
publishDate	2021
url	https://doaj.org/article/121be11ad8044f8bb69ffc08560e7b5e
work_keys_str_mv	AT guojundeng novelapproachtoextractdensefullfielddynamicparametersoflargescalebridgesusingspatialsequencevideo AT zhixiangzhou novelapproachtoextractdensefullfielddynamicparametersoflargescalebridgesusingspatialsequencevideo AT shuaishao novelapproachtoextractdensefullfielddynamicparametersoflargescalebridgesusingspatialsequencevideo AT xichu novelapproachtoextractdensefullfielddynamicparametersoflargescalebridgesusingspatialsequencevideo AT pengdu novelapproachtoextractdensefullfielddynamicparametersoflargescalebridgesusingspatialsequencevideo
_version_	1718416687952297984

Novel approach to extract dense full-field dynamic parameters of large-scale bridges using spatial sequence video

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