Cargando…

Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure

Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the...

Descripción completa

Detalles Bibliográficos
Autores principales: Ding, You-Liang, Wang, Gao-Xin, Sun, Peng, Wu, Lai-Yi, Yue, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584230/
https://www.ncbi.nlm.nih.gov/pubmed/26451387
http://dx.doi.org/10.1155/2015/250562
_version_ 1782391954345033728
author Ding, You-Liang
Wang, Gao-Xin
Sun, Peng
Wu, Lai-Yi
Yue, Qing
author_facet Ding, You-Liang
Wang, Gao-Xin
Sun, Peng
Wu, Lai-Yi
Yue, Qing
author_sort Ding, You-Liang
collection PubMed
description Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM) system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication. The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge. The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers. Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge's abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature.
format Online
Article
Text
id pubmed-4584230
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-45842302015-10-08 Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure Ding, You-Liang Wang, Gao-Xin Sun, Peng Wu, Lai-Yi Yue, Qing ScientificWorldJournal Research Article Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM) system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication. The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge. The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers. Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge's abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature. Hindawi Publishing Corporation 2015 2015-09-14 /pmc/articles/PMC4584230/ /pubmed/26451387 http://dx.doi.org/10.1155/2015/250562 Text en Copyright © 2015 You-Liang Ding et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ding, You-Liang
Wang, Gao-Xin
Sun, Peng
Wu, Lai-Yi
Yue, Qing
Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title_full Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title_fullStr Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title_full_unstemmed Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title_short Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
title_sort long-term structural health monitoring system for a high-speed railway bridge structure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584230/
https://www.ncbi.nlm.nih.gov/pubmed/26451387
http://dx.doi.org/10.1155/2015/250562
work_keys_str_mv AT dingyouliang longtermstructuralhealthmonitoringsystemforahighspeedrailwaybridgestructure
AT wanggaoxin longtermstructuralhealthmonitoringsystemforahighspeedrailwaybridgestructure
AT sunpeng longtermstructuralhealthmonitoringsystemforahighspeedrailwaybridgestructure
AT wulaiyi longtermstructuralhealthmonitoringsystemforahighspeedrailwaybridgestructure
AT yueqing longtermstructuralhealthmonitoringsystemforahighspeedrailwaybridgestructure