Long-Term Vibration Monitoring of Cable-Stayed Bridge Using Wireless Sensor Network

Joint Authors

Nguyen, Khac-Duy
Kim, Jeong-Tae
Park, Young-Hwan

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2013, Issue - (31 Dec. 2013), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-26

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

Wireless sensor networks provide a lot of advantages for vibration monitoring of bridges.

The installation time and implementation cost of the monitoring system are greatly reduced by the adoption of this innovative technology.

This paper presents a long-term vibration monitoring of the Hwamyung cable-stayed bridge in Korea using an Imote2-platformed wireless sensor network.

First, the wireless vibration monitoring system of the bridge is briefly described by outlining the test history, the design of wireless sensor system, and the sensor deployment.

Next, the vibration behaviors of the bridge are experimentally examined with respect to the variation of temperature, the wind loads induced by typhoons, and the change of bridge deck mass caused by pavement.

American Psychological Association (APA)

Nguyen, Khac-Duy& Kim, Jeong-Tae& Park, Young-Hwan. 2013. Long-Term Vibration Monitoring of Cable-Stayed Bridge Using Wireless Sensor Network. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-9.
https://search.emarefa.net/detail/BIM-499386

Modern Language Association (MLA)

Nguyen, Khac-Duy…[et al.]. Long-Term Vibration Monitoring of Cable-Stayed Bridge Using Wireless Sensor Network. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-499386

American Medical Association (AMA)

Nguyen, Khac-Duy& Kim, Jeong-Tae& Park, Young-Hwan. Long-Term Vibration Monitoring of Cable-Stayed Bridge Using Wireless Sensor Network. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-9.
https://search.emarefa.net/detail/BIM-499386

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-499386