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논문 기본 정보

자료유형
학술저널
저자정보
Jang, Shinae (Department of Civil and Environmental Engineering, University of Illinois) Jo, Hongki (Department of Civil and Environmental Engineering, University of Illinois) Cho, Soojin (Department of Civil and Environmental Engineering, KAIST) Mechitov, Kirill (Department of Computer Science, University of Illinois) Rice, Jennifer A. (Texas Tech University) Sim, Sung-Han (Department of Civil and Environmental Engineering, University of Illinois) Jung, Hyung-Jo (Department of Civil and Environmental Engineering, KAIST) Yun, Chung-Bangm (Department of Civil and Environmental Engineering, KAIST) Spencer, Billie F. Jr. (Department of Civil and Environmental Engineering, University of Illinois) Agha, Gul (Department of Computer Science, University of Illinois)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제6권 제5호
발행연도
2010.1
수록면
439 - 459 (21page)

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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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