Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification

With the rapid growth of traffic, the loads' design of many existing bridges can no longer meet the current vehicle load requirements, and the structural safety is seriously threatened. To ensure the structural safety of the bridge, it is necessary to monitor the bridge health and establish an...

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Main Authors: Chunguang Han, Xu Luo*, Xinping Li, Xinsha Fu, Lixiong Gu, Zhiyong Ouyang
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/365674
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author Chunguang Han
Xu Luo*
Xinping Li
Xinsha Fu
Lixiong Gu
Zhiyong Ouyang
author_facet Chunguang Han
Xu Luo*
Xinping Li
Xinsha Fu
Lixiong Gu
Zhiyong Ouyang
author_sort Chunguang Han
collection DOAJ
description With the rapid growth of traffic, the loads' design of many existing bridges can no longer meet the current vehicle load requirements, and the structural safety is seriously threatened. To ensure the structural safety of the bridge, it is necessary to monitor the bridge health and establish an early warning mechanism to prevent major accidents. The modern concrete bridge structure health monitoring based on damage identification proposed in this paper carried out principal component analysis of modern concrete bridges, and then this paper used principal component analysis (PCA) to locate the nonlinear damage source of the experimental model, which obtained the following conclusions. The maximum shear stress of the steel beam web is about 80 MPa,and the bulk stress of steel is reached at 7.5 MPa. Furthermore, to reduce the original data's dimensionality, PCA effectively retains the characteristic information of the original data; empirical examples from external factor are presented. The major advantage of applying this framework is that the structural damage identification is simple and reliable with its advantages of dimensionality reduction, noise reduction, and exclusion of out-of-bounds interference factors.
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spelling doaj.art-281485ba1db7498b82423aca4986102f2024-04-15T16:48:05ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-0128115115910.17559/TV-20200415104728Study on Modern Bridge Structure Health Monitoring System Based on Damage IdentificationChunguang Han0Xu Luo*1Xinping Li2Xinsha Fu3Lixiong Gu4Zhiyong Ouyang5School of Civil Engineering, Jiaying University, Meizhou, ChinaSchool of Mechanics and Construction Engineering, Jinan University, Guangzhou, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, ChinaSchool of Civil Engineering, Jiaying University, Meizhou, ChinaWith the rapid growth of traffic, the loads' design of many existing bridges can no longer meet the current vehicle load requirements, and the structural safety is seriously threatened. To ensure the structural safety of the bridge, it is necessary to monitor the bridge health and establish an early warning mechanism to prevent major accidents. The modern concrete bridge structure health monitoring based on damage identification proposed in this paper carried out principal component analysis of modern concrete bridges, and then this paper used principal component analysis (PCA) to locate the nonlinear damage source of the experimental model, which obtained the following conclusions. The maximum shear stress of the steel beam web is about 80 MPa,and the bulk stress of steel is reached at 7.5 MPa. Furthermore, to reduce the original data's dimensionality, PCA effectively retains the characteristic information of the original data; empirical examples from external factor are presented. The major advantage of applying this framework is that the structural damage identification is simple and reliable with its advantages of dimensionality reduction, noise reduction, and exclusion of out-of-bounds interference factors.https://hrcak.srce.hr/file/365674damage identificationhealth monitoringmodern concrete bridgeprincipal component analysisstructural safety
spellingShingle Chunguang Han
Xu Luo*
Xinping Li
Xinsha Fu
Lixiong Gu
Zhiyong Ouyang
Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
Tehnički Vjesnik
damage identification
health monitoring
modern concrete bridge
principal component analysis
structural safety
title Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
title_full Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
title_fullStr Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
title_full_unstemmed Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
title_short Study on Modern Bridge Structure Health Monitoring System Based on Damage Identification
title_sort study on modern bridge structure health monitoring system based on damage identification
topic damage identification
health monitoring
modern concrete bridge
principal component analysis
structural safety
url https://hrcak.srce.hr/file/365674
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AT xinshafu studyonmodernbridgestructurehealthmonitoringsystembasedondamageidentification
AT lixionggu studyonmodernbridgestructurehealthmonitoringsystembasedondamageidentification
AT zhiyongouyang studyonmodernbridgestructurehealthmonitoringsystembasedondamageidentification