Full-scale experimental validation of high-fidelity wireless measurement on a historic truss bridge

Shinae Jang, B F Spencer, Jennifer Rice, Zhihao Wang

Research output: Contribution to journalArticle

Abstract

To meet the growing demands to monitor our aging infrastructure, wireless smart sensor networks (WSSN) have been the subject of intense interest due to their versatility and low cost. However, the performance of commercially available sensors is not sufficient to realize the high-fidelity data required for SHM. In particular, synchronization among the wireless sensor nodes has been found to be inadequate for data intensive applications such as SHM. To this end, the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite has been developed as an open-source framework to enable reliable SHM application. One of the services, RemoteSensing, was specifically designed to enable monitoring of civil infrastructure through accurate time synchronization and reliable communication. In this paper, the performance of the Imote2 wireless sensor platform using a commercially available low cost sensor board is validated directly against a wired sensor system, in the context of validation of its capability for high-fidelity data measurement for bridge health monitoring. A series of vibration tests have been conducted using human jumping to excite the subject of this study, a 76-m historic steel truss bridge in Mahomet, Illinois. The dynamic properties of the bridge have been obtained by the peak picking method for both wireless and wired systems and compare well; thus, demonstrating the efficacy of the wireless sensor system.

Original languageEnglish (US)
Pages (from-to)93-101
Number of pages9
JournalAdvances in Structural Engineering
Volume14
Issue number1
DOIs
StatePublished - Feb 1 2011

Fingerprint

Sensors
Synchronization
Smart sensors
Steel bridges
Monitoring
Structural health monitoring
Sensor nodes
Sensor networks
Costs
Aging of materials
Health
Communication

Keywords

  • historic bridge
  • RemoteSensing
  • structural health monitoring
  • wireless smart sensor network

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Full-scale experimental validation of high-fidelity wireless measurement on a historic truss bridge. / Jang, Shinae; Spencer, B F; Rice, Jennifer; Wang, Zhihao.

In: Advances in Structural Engineering, Vol. 14, No. 1, 01.02.2011, p. 93-101.

Research output: Contribution to journalArticle

@article{bc423de4b28744c1be337cc6191b4e8d,
title = "Full-scale experimental validation of high-fidelity wireless measurement on a historic truss bridge",
abstract = "To meet the growing demands to monitor our aging infrastructure, wireless smart sensor networks (WSSN) have been the subject of intense interest due to their versatility and low cost. However, the performance of commercially available sensors is not sufficient to realize the high-fidelity data required for SHM. In particular, synchronization among the wireless sensor nodes has been found to be inadequate for data intensive applications such as SHM. To this end, the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite has been developed as an open-source framework to enable reliable SHM application. One of the services, RemoteSensing, was specifically designed to enable monitoring of civil infrastructure through accurate time synchronization and reliable communication. In this paper, the performance of the Imote2 wireless sensor platform using a commercially available low cost sensor board is validated directly against a wired sensor system, in the context of validation of its capability for high-fidelity data measurement for bridge health monitoring. A series of vibration tests have been conducted using human jumping to excite the subject of this study, a 76-m historic steel truss bridge in Mahomet, Illinois. The dynamic properties of the bridge have been obtained by the peak picking method for both wireless and wired systems and compare well; thus, demonstrating the efficacy of the wireless sensor system.",
keywords = "historic bridge, RemoteSensing, structural health monitoring, wireless smart sensor network",
author = "Shinae Jang and Spencer, {B F} and Jennifer Rice and Zhihao Wang",
year = "2011",
month = "2",
day = "1",
doi = "10.1260/1369-4332.14.1.93",
language = "English (US)",
volume = "14",
pages = "93--101",
journal = "Advances in Structural Engineering",
issn = "1369-4332",
publisher = "Multi-Science Publishing Co. Ltd",
number = "1",

}

TY - JOUR

T1 - Full-scale experimental validation of high-fidelity wireless measurement on a historic truss bridge

AU - Jang, Shinae

AU - Spencer, B F

AU - Rice, Jennifer

AU - Wang, Zhihao

PY - 2011/2/1

Y1 - 2011/2/1

N2 - To meet the growing demands to monitor our aging infrastructure, wireless smart sensor networks (WSSN) have been the subject of intense interest due to their versatility and low cost. However, the performance of commercially available sensors is not sufficient to realize the high-fidelity data required for SHM. In particular, synchronization among the wireless sensor nodes has been found to be inadequate for data intensive applications such as SHM. To this end, the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite has been developed as an open-source framework to enable reliable SHM application. One of the services, RemoteSensing, was specifically designed to enable monitoring of civil infrastructure through accurate time synchronization and reliable communication. In this paper, the performance of the Imote2 wireless sensor platform using a commercially available low cost sensor board is validated directly against a wired sensor system, in the context of validation of its capability for high-fidelity data measurement for bridge health monitoring. A series of vibration tests have been conducted using human jumping to excite the subject of this study, a 76-m historic steel truss bridge in Mahomet, Illinois. The dynamic properties of the bridge have been obtained by the peak picking method for both wireless and wired systems and compare well; thus, demonstrating the efficacy of the wireless sensor system.

AB - To meet the growing demands to monitor our aging infrastructure, wireless smart sensor networks (WSSN) have been the subject of intense interest due to their versatility and low cost. However, the performance of commercially available sensors is not sufficient to realize the high-fidelity data required for SHM. In particular, synchronization among the wireless sensor nodes has been found to be inadequate for data intensive applications such as SHM. To this end, the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite has been developed as an open-source framework to enable reliable SHM application. One of the services, RemoteSensing, was specifically designed to enable monitoring of civil infrastructure through accurate time synchronization and reliable communication. In this paper, the performance of the Imote2 wireless sensor platform using a commercially available low cost sensor board is validated directly against a wired sensor system, in the context of validation of its capability for high-fidelity data measurement for bridge health monitoring. A series of vibration tests have been conducted using human jumping to excite the subject of this study, a 76-m historic steel truss bridge in Mahomet, Illinois. The dynamic properties of the bridge have been obtained by the peak picking method for both wireless and wired systems and compare well; thus, demonstrating the efficacy of the wireless sensor system.

KW - historic bridge

KW - RemoteSensing

KW - structural health monitoring

KW - wireless smart sensor network

UR - http://www.scopus.com/inward/record.url?scp=79951823040&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951823040&partnerID=8YFLogxK

U2 - 10.1260/1369-4332.14.1.93

DO - 10.1260/1369-4332.14.1.93

M3 - Article

AN - SCOPUS:79951823040

VL - 14

SP - 93

EP - 101

JO - Advances in Structural Engineering

JF - Advances in Structural Engineering

SN - 1369-4332

IS - 1

ER -