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ABSTRACT

Bridge Health Mornitoring using Wireless Sensor Networks

by Byung-wan Jo1, Do-keun Kim2, Sung-keun Song3, Suk-un Kim4

Professor, Dept. of Civil Engineering, Hanyang University, Seoul, Korea
PhD Student of Civil Engineering, Hanyang University, Seoul, Korea
Master’s course Student of Civil Engineering, Hanyang University, Seoul, Korea
Graduate Student, Computer Science Division, Electrical Engineering and Computer Sciences, University of California at Berkeley

The International Conference on Computational & Experimental Engineering and Sciences 2007, 1(4), 167-172. https://doi.org/10.3970/icces.2007.001.167

Abstract

Wireless sensor networks bring new challenges to Bridge monitoring. To monitor a bridge, behavior, including vibration and displacement, must be measured to analyze the health of the structure based on measured and collected data. The collected data can be used to compute modal properties of the bridge. A bridge is moved by external forces, including wind, seismic activity, and traffic. So it is very hard reliance of safety through a preexistence method which uses Data Logger. Dynamic behavior of a bridge is difficult to measure because of costs and installation methods. In this paper, a new method, using a U-Smart Sensor and Sensor Networking to measure the dynamic behavior of the bridge, is suggested. A new wireless MEMS accelerometer sensor (U-Smart Sensor) board is designed to meet the specific hardware and software requirements of structural engineering applications.

Cite This Article

APA Style
Jo, B., Kim, D., Song, S., Kim, S. (2007). Bridge health mornitoring using wireless sensor networks. The International Conference on Computational & Experimental Engineering and Sciences, 1(4), 167-172. https://doi.org/10.3970/icces.2007.001.167
Vancouver Style
Jo B, Kim D, Song S, Kim S. Bridge health mornitoring using wireless sensor networks. Int Conf Comput Exp Eng Sciences . 2007;1(4):167-172 https://doi.org/10.3970/icces.2007.001.167
IEEE Style
B. Jo, D. Kim, S. Song, and S. Kim, “Bridge Health Mornitoring using Wireless Sensor Networks,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 1, no. 4, pp. 167-172, 2007. https://doi.org/10.3970/icces.2007.001.167



cc Copyright © 2007 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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