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

被引:370
作者
Jang, Shinae [1 ]
Jo, Hongki [1 ]
Cho, Soojin [2 ]
Mechitov, Kirill [3 ]
Rice, Jennifer A. [4 ]
Sim, Sung-Han [1 ]
Jung, Hyung-Jo [2 ]
Yun, Chung-Bang [2 ]
Spencer, Billie F., Jr. [1 ]
Agha, Gul [3 ]
机构
[1] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[2] Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, Taejon 305701, South Korea
[3] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA
[4] Texas Tech Univ, Lubbock, TX 79409 USA
基金
美国国家科学基金会;
关键词
structural health monitoring; wireless smart sensor network; cable-stayed bridge; deployment; evaluation;
D O I
10.12989/sss.2010.6.5_6.439
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:439 / 459
页数:21
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