System identification of a historic swing truss bridge using a wireless sensor network employing orientation correction

Soojin Cho, Ryan K. Giles, Billie F. Spencer

Research output: Contribution to journalArticle

Abstract

System identification was performed on the swing span of a steel truss bridge dating from 1896 using acceleration data collected from a wireless sensor network (WSN). The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The WSN installed on the swing span consists of 23 nodes that measure synchronized tri-axial acceleration. Five days of measured data were segmented according to three functional positions of the span (locked facing downstream, locked facing upstream, swung for river traffic) and load conditions. Subsequently, the modal parameters corresponding to the bridge's three functional positions were obtained using frequency domain decomposition method. The initial system identification of the bridge resulted in significant anomalies, in comparison with the finite element (FE) model. To improve the accuracy of the overall identification results, the sensor orientation correction technique is proposed for the measured data from the WSN. The improvement has been verified by comparing the orientation-corrected mode shapes with non-corrected mode shapes and FE mode shapes using the modal assurance criterion values. Analysis of the modal parameters inferred that the boundary conditions for the bridge positions are different because of the interaction of the locking mechanism with the abutments in those positions. The proposed approach for system identification, including sensor orientation correction, is to be used as part of the comprehensive structural heath monitoring strategy for this historic structure.

Original languageEnglish (US)
Pages (from-to)255-272
Number of pages18
JournalStructural Control and Health Monitoring
Volume22
Issue number2
DOIs
StatePublished - Feb 1 2015

Fingerprint

Swing bridges
Wireless sensor networks
Identification (control systems)
Rivers
Domain decomposition methods
Steel bridges
Sensors
Boundary conditions
Monitoring

Keywords

  • Modal analysis
  • Orientation correction
  • Swing bridge
  • System identification
  • Wireless sensor network

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials

Cite this

System identification of a historic swing truss bridge using a wireless sensor network employing orientation correction. / Cho, Soojin; Giles, Ryan K.; Spencer, Billie F.

In: Structural Control and Health Monitoring, Vol. 22, No. 2, 01.02.2015, p. 255-272.

Research output: Contribution to journalArticle

@article{323672a247bf47029050ddbde1b6af5b,
title = "System identification of a historic swing truss bridge using a wireless sensor network employing orientation correction",
abstract = "System identification was performed on the swing span of a steel truss bridge dating from 1896 using acceleration data collected from a wireless sensor network (WSN). The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The WSN installed on the swing span consists of 23 nodes that measure synchronized tri-axial acceleration. Five days of measured data were segmented according to three functional positions of the span (locked facing downstream, locked facing upstream, swung for river traffic) and load conditions. Subsequently, the modal parameters corresponding to the bridge's three functional positions were obtained using frequency domain decomposition method. The initial system identification of the bridge resulted in significant anomalies, in comparison with the finite element (FE) model. To improve the accuracy of the overall identification results, the sensor orientation correction technique is proposed for the measured data from the WSN. The improvement has been verified by comparing the orientation-corrected mode shapes with non-corrected mode shapes and FE mode shapes using the modal assurance criterion values. Analysis of the modal parameters inferred that the boundary conditions for the bridge positions are different because of the interaction of the locking mechanism with the abutments in those positions. The proposed approach for system identification, including sensor orientation correction, is to be used as part of the comprehensive structural heath monitoring strategy for this historic structure.",
keywords = "Modal analysis, Orientation correction, Swing bridge, System identification, Wireless sensor network",
author = "Soojin Cho and Giles, {Ryan K.} and Spencer, {Billie F.}",
year = "2015",
month = "2",
day = "1",
doi = "10.1002/stc.1672",
language = "English (US)",
volume = "22",
pages = "255--272",
journal = "Structural Control and Health Monitoring",
issn = "1545-2255",
publisher = "John Wiley and Sons Ltd",
number = "2",

}

TY - JOUR

T1 - System identification of a historic swing truss bridge using a wireless sensor network employing orientation correction

AU - Cho, Soojin

AU - Giles, Ryan K.

AU - Spencer, Billie F.

PY - 2015/2/1

Y1 - 2015/2/1

N2 - System identification was performed on the swing span of a steel truss bridge dating from 1896 using acceleration data collected from a wireless sensor network (WSN). The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The WSN installed on the swing span consists of 23 nodes that measure synchronized tri-axial acceleration. Five days of measured data were segmented according to three functional positions of the span (locked facing downstream, locked facing upstream, swung for river traffic) and load conditions. Subsequently, the modal parameters corresponding to the bridge's three functional positions were obtained using frequency domain decomposition method. The initial system identification of the bridge resulted in significant anomalies, in comparison with the finite element (FE) model. To improve the accuracy of the overall identification results, the sensor orientation correction technique is proposed for the measured data from the WSN. The improvement has been verified by comparing the orientation-corrected mode shapes with non-corrected mode shapes and FE mode shapes using the modal assurance criterion values. Analysis of the modal parameters inferred that the boundary conditions for the bridge positions are different because of the interaction of the locking mechanism with the abutments in those positions. The proposed approach for system identification, including sensor orientation correction, is to be used as part of the comprehensive structural heath monitoring strategy for this historic structure.

AB - System identification was performed on the swing span of a steel truss bridge dating from 1896 using acceleration data collected from a wireless sensor network (WSN). The swing span can rotate 360° to allow river traffic to pass through the locks located under the bridge. The WSN installed on the swing span consists of 23 nodes that measure synchronized tri-axial acceleration. Five days of measured data were segmented according to three functional positions of the span (locked facing downstream, locked facing upstream, swung for river traffic) and load conditions. Subsequently, the modal parameters corresponding to the bridge's three functional positions were obtained using frequency domain decomposition method. The initial system identification of the bridge resulted in significant anomalies, in comparison with the finite element (FE) model. To improve the accuracy of the overall identification results, the sensor orientation correction technique is proposed for the measured data from the WSN. The improvement has been verified by comparing the orientation-corrected mode shapes with non-corrected mode shapes and FE mode shapes using the modal assurance criterion values. Analysis of the modal parameters inferred that the boundary conditions for the bridge positions are different because of the interaction of the locking mechanism with the abutments in those positions. The proposed approach for system identification, including sensor orientation correction, is to be used as part of the comprehensive structural heath monitoring strategy for this historic structure.

KW - Modal analysis

KW - Orientation correction

KW - Swing bridge

KW - System identification

KW - Wireless sensor network

UR - http://www.scopus.com/inward/record.url?scp=84920812562&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920812562&partnerID=8YFLogxK

U2 - 10.1002/stc.1672

DO - 10.1002/stc.1672

M3 - Article

AN - SCOPUS:84920812562

VL - 22

SP - 255

EP - 272

JO - Structural Control and Health Monitoring

JF - Structural Control and Health Monitoring

SN - 1545-2255

IS - 2

ER -