Damage identification in cable-stayed bridges using modal data

In this study, damage detection methods of cable stayed bridges were investigated. Cable stayed bridges are flexible structures; meanwhile they are sensitive to vibrations due to their complicated and multiple vibrations modes; therefore, damage detection methods based on vibration data in cable-sta...

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Autores principales:	Mohammad Alikhani Dehaghi, Gholamreza Ghodrati Amiri, Ali Zare Hosseinzadeh, Seyed Ali Seyed Razzaghi
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2020
Materias:	structural damage detection modal data cable-stayed bridges finite element model mode shape curvature modal flexibility index Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/24d9a64f8f484e5aaea644bb35572406
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spelling	oai:doaj.org-article:24d9a64f8f484e5aaea644bb355724062021-11-08T15:53:13ZDamage identification in cable-stayed bridges using modal data2476-39772538-261610.22065/jsce.2018.127340.1523https://doaj.org/article/24d9a64f8f484e5aaea644bb355724062020-06-01T00:00:00Zhttps://www.jsce.ir/article_67252_2edd4b91d2a53ea62883042d4ffe5150.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616In this study, damage detection methods of cable stayed bridges were investigated. Cable stayed bridges are flexible structures; meanwhile they are sensitive to vibrations due to their complicated and multiple vibrations modes; therefore, damage detection methods based on vibration data in cable-stayed bridges has become a challenging issue. In the present study, finite element model of Bill Emerson, Missouri cable stayed bridge was simulated in order to achieve a precise finite element model to simulate the damage scenarios in bridge and the study of them. General process includes four damage detection indices based on the modal data (mode shapes and natural frequencies) achieved by modelling structure and simulated damages and in each case the results of damage detection were presented by indices. These methods are: Enhanced Coordinate Modal Assurance Criterion (ECOMAC), Mode Shape Curvature (MSC), Modal Flexibility Index (MFI), Damage Index (DI). Some of the methods were applied in damage detection of the pervious structures and bridges. In this paper, correlative study of these methods were performed based on different damage scenarios as well as study of challenges such as different levels of random noise in the input data, incomplete modal data and low damage intensity in detection of damage in cable-stayed bridge and then, performance of the methods were assessed.Mohammad Alikhani DehaghiGholamreza Ghodrati AmiriAli Zare HosseinzadehSeyed Ali Seyed RazzaghiIranian Society of Structrual Engineering (ISSE)articlestructural damage detectionmodal datacable-stayed bridgesfinite element modelmode shape curvaturemodal flexibility indexBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 7, Iss 2, Pp 24-45 (2020)
institution	DOAJ
collection	DOAJ
language	FA
topic	structural damage detection modal data cable-stayed bridges finite element model mode shape curvature modal flexibility index Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	structural damage detection modal data cable-stayed bridges finite element model mode shape curvature modal flexibility index Bridge engineering TG1-470 Building construction TH1-9745 Mohammad Alikhani Dehaghi Gholamreza Ghodrati Amiri Ali Zare Hosseinzadeh Seyed Ali Seyed Razzaghi Damage identification in cable-stayed bridges using modal data
description	In this study, damage detection methods of cable stayed bridges were investigated. Cable stayed bridges are flexible structures; meanwhile they are sensitive to vibrations due to their complicated and multiple vibrations modes; therefore, damage detection methods based on vibration data in cable-stayed bridges has become a challenging issue. In the present study, finite element model of Bill Emerson, Missouri cable stayed bridge was simulated in order to achieve a precise finite element model to simulate the damage scenarios in bridge and the study of them. General process includes four damage detection indices based on the modal data (mode shapes and natural frequencies) achieved by modelling structure and simulated damages and in each case the results of damage detection were presented by indices. These methods are: Enhanced Coordinate Modal Assurance Criterion (ECOMAC), Mode Shape Curvature (MSC), Modal Flexibility Index (MFI), Damage Index (DI). Some of the methods were applied in damage detection of the pervious structures and bridges. In this paper, correlative study of these methods were performed based on different damage scenarios as well as study of challenges such as different levels of random noise in the input data, incomplete modal data and low damage intensity in detection of damage in cable-stayed bridge and then, performance of the methods were assessed.
format	article
author	Mohammad Alikhani Dehaghi Gholamreza Ghodrati Amiri Ali Zare Hosseinzadeh Seyed Ali Seyed Razzaghi
author_facet	Mohammad Alikhani Dehaghi Gholamreza Ghodrati Amiri Ali Zare Hosseinzadeh Seyed Ali Seyed Razzaghi
author_sort	Mohammad Alikhani Dehaghi
title	Damage identification in cable-stayed bridges using modal data
title_short	Damage identification in cable-stayed bridges using modal data
title_full	Damage identification in cable-stayed bridges using modal data
title_fullStr	Damage identification in cable-stayed bridges using modal data
title_full_unstemmed	Damage identification in cable-stayed bridges using modal data
title_sort	damage identification in cable-stayed bridges using modal data
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2020
url	https://doaj.org/article/24d9a64f8f484e5aaea644bb35572406
work_keys_str_mv	AT mohammadalikhanidehaghi damageidentificationincablestayedbridgesusingmodaldata AT gholamrezaghodratiamiri damageidentificationincablestayedbridgesusingmodaldata AT alizarehosseinzadeh damageidentificationincablestayedbridgesusingmodaldata AT seyedaliseyedrazzaghi damageidentificationincablestayedbridgesusingmodaldata
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Damage identification in cable-stayed bridges using modal data

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