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Sim, Sung-Han
Smart Infrastructure Systems Lab
Research Interests
  • Structural Dynamics, Smart Sensor and Sensor Network, Structural Health Monitoring, Digital Image Processing

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Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

Cited 88 times inthomson ciCited 98 times inthomson ci
Title
Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation
Author
Jang, ShinaeJo, HongkiCho, SoojinMechitov, KirillRice, Jennifer A.Sim, Sung-HanJung, Hyung-JoYun, Chung BangSpencer, Billie F., Jr.Agha, Gul
Keywords
Cable-stayed bridge; Deployment; Evaluation; Structural health monitoring; Wireless smart sensor network
Issue Date
2010-07
Publisher
TECHNO-PRESS
Citation
SMART STRUCTURES AND SYSTEMS, v.6, no.5-6, pp.439 - 459
Abstract
Structural health monitoring (SHM) of civil infrastructure using wireless smart sensor networks (WSSNs) has received significant public attention in recent years. The benefits of WSSNs are that they are low-cost, easy to install, and provide effective data management via on-board computation. This paper reports on the deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea with a 344-m main span and two 70-m side spans. The central components of the WSSN deployment are the Imote2 smart sensor platforms, a custom-designed multimetric sensor boards, base stations, and software provided by the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. In total, 70 sensor nodes and two base stations have been deployed to monitor the bridge using an autonomous SHM application with excessive wind and vibration triggering the system to initiate monitoring. Additionally, the performance of the system is evaluated in terms of hardware durability, software stability, power consumption and energy harvesting capabilities. The Jindo Bridge SHM system constitutes the largest deployment of wireless smart sensors for civil infrastructure monitoring to date. This deployment demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.
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ISSN
1738-1584
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UEE_Journal Papers
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