31 March 2010 Structural health monitoring system of a cable-stayed bridge using a dense array of scalable smart sensor network
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Abstract
This paper presents a structural health monitoring (SHM) system using a dense array of scalable smart wireless sensor network on a cable-stayed bridge (Jindo Bridge) in Korea. The hardware and software for the SHM system and its components are developed for low-cost, efficient, and autonomous monitoring of the bridge. 70 sensors and two base station computers have been deployed to monitor the bridge using an autonomous SHM application with consideration of harsh outdoor surroundings. The performance of the system has been evaluated in terms of hardware durability, software reliability, and power consumption. 3-D modal properties were extracted from the measured 3-axis vibration data using output-only modal identification methods. Tension forces of 4 different lengths of stay-cables were derived from the ambient vibration data on the cables. For the integrity assessment of the structure, multi-scale subspace system identification method is now under development using a neural network technique based on the local mode shapes and the cable tensions.
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Soojin Cho, Soojin Cho, Shin Ae Jang, Shin Ae Jang, Hongki Jo, Hongki Jo, Kirill Mechitov, Kirill Mechitov, Jennifer A. Rice, Jennifer A. Rice, Hyung-Jo Jung, Hyung-Jo Jung, Chung-Bang Yun, Chung-Bang Yun, Billie F. Spencer, Billie F. Spencer, Tomonori Nagayama, Tomonori Nagayama, Juwon Seo, Juwon Seo, } "Structural health monitoring system of a cable-stayed bridge using a dense array of scalable smart sensor network", Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 764707 (31 March 2010); doi: 10.1117/12.852272; https://doi.org/10.1117/12.852272
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