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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Format: | Article |
Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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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. |
first_indexed | 2024-04-24T09:15:44Z |
format | Article |
id | doaj.art-281485ba1db7498b82423aca4986102f |
institution | Directory Open Access Journal |
issn | 1330-3651 1848-6339 |
language | English |
last_indexed | 2024-04-24T09:15:44Z |
publishDate | 2021-01-01 |
publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
record_format | Article |
series | Tehnički Vjesnik |
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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