Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty

Structural damage detection is based on that the dynamic response of structure will change because of damage. Hence, it is possible to estimate the location and severity of damage leads to changes in the dynamic response before and after the damage. In this study, the genetic fuzzy system has been u...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Saeid Jahan, Yusef Hoseinzadeh, Alireza Mojtahedi
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2017
Materias:	damage detection genetic fuzzy system bridge structural health monitoring uncertainty frequency Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/a0dea9781dde4f88a5ac584781261488
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a0dea9781dde4f88a5ac584781261488
record_format	dspace
spelling	oai:doaj.org-article:a0dea9781dde4f88a5ac5847812614882021-11-08T15:46:44ZSteel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty2476-39772538-261610.22065/jsce.2017.43233https://doaj.org/article/a0dea9781dde4f88a5ac5847812614882017-11-01T00:00:00Zhttps://www.jsce.ir/article_43233_0c4787a65f7ec899f94900a2527e48dd.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Structural damage detection is based on that the dynamic response of structure will change because of damage. Hence, it is possible to estimate the location and severity of damage leads to changes in the dynamic response before and after the damage. In this study, the genetic fuzzy system has been used for bridge structural health monitoring. A key objective of using genetic algorithms is to automate the design of fuzzy systems. This method is used for damage detection of a single span railway bridge with steel girders and a concrete bridge. For studying damage detection, the numerical models of these two bridges are built with the measured dynamic characteristics. A three-dimensional finite element model and a single two-dimensional girders model of the bridge have been constructed to study usefulness of the genetic fuzzy system for damage detection and the effectiveness of modeling. After analysis to control the uncertainties, the measured frequencies are contaminated with some noise and the effect of that on the achievement of damage detection method is evaluated. The present study has shown that the natural frequency has appropriate sensitivity to different damage scenarios in the structure. In addition, the natural frequency in comparison with other modal parameters, is less affected by random noise. Increasing the number of measurement modes and using torsional modes, will lead to an accurate damage diagnosis even in symmetrical structures.Saeid JahanYusef HoseinzadehAlireza MojtahediIranian Society of Structrual Engineering (ISSE)articledamage detectiongenetic fuzzy systembridge structural health monitoringuncertaintyfrequencyBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 4, Iss 3, Pp 5-17 (2017)
institution	DOAJ
collection	DOAJ
language	FA
topic	damage detection genetic fuzzy system bridge structural health monitoring uncertainty frequency Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	damage detection genetic fuzzy system bridge structural health monitoring uncertainty frequency Bridge engineering TG1-470 Building construction TH1-9745 Saeid Jahan Yusef Hoseinzadeh Alireza Mojtahedi Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
description	Structural damage detection is based on that the dynamic response of structure will change because of damage. Hence, it is possible to estimate the location and severity of damage leads to changes in the dynamic response before and after the damage. In this study, the genetic fuzzy system has been used for bridge structural health monitoring. A key objective of using genetic algorithms is to automate the design of fuzzy systems. This method is used for damage detection of a single span railway bridge with steel girders and a concrete bridge. For studying damage detection, the numerical models of these two bridges are built with the measured dynamic characteristics. A three-dimensional finite element model and a single two-dimensional girders model of the bridge have been constructed to study usefulness of the genetic fuzzy system for damage detection and the effectiveness of modeling. After analysis to control the uncertainties, the measured frequencies are contaminated with some noise and the effect of that on the achievement of damage detection method is evaluated. The present study has shown that the natural frequency has appropriate sensitivity to different damage scenarios in the structure. In addition, the natural frequency in comparison with other modal parameters, is less affected by random noise. Increasing the number of measurement modes and using torsional modes, will lead to an accurate damage diagnosis even in symmetrical structures.
format	article
author	Saeid Jahan Yusef Hoseinzadeh Alireza Mojtahedi
author_facet	Saeid Jahan Yusef Hoseinzadeh Alireza Mojtahedi
author_sort	Saeid Jahan
title	Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
title_short	Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
title_full	Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
title_fullStr	Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
title_full_unstemmed	Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
title_sort	steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2017
url	https://doaj.org/article/a0dea9781dde4f88a5ac584781261488
work_keys_str_mv	AT saeidjahan steelbridgesstructuralhealthmonitoringbasedonoperationalmodalanalysisaccommodatingevaluationofuncertainty AT yusefhoseinzadeh steelbridgesstructuralhealthmonitoringbasedonoperationalmodalanalysisaccommodatingevaluationofuncertainty AT alirezamojtahedi steelbridgesstructuralhealthmonitoringbasedonoperationalmodalanalysisaccommodatingevaluationofuncertainty
_version_	1718441690508820480

Steel bridges structural health monitoring based on operational modal analysis accommodating evaluation of uncertainty

Ejemplares similares