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Bridge Condition Assessment Using Dynamic Response Collected Through Wireless Sensor Networks

Hamid, Hiwa F.
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1391776500

Abstract Details

2013, Master of Science in Engineering, Youngstown State University, Department of Civil/Environmental and Chemical Engineering.
With a large inventory of deficient and aging bridges in the United States, this research focused on developing dynamic response based health monitoring system of prestressed box beam (PSBB) bridges that will provide more realistic and cost-efficient results. The hypothesis is based on the assumption that the dynamic response is a sensitive and important indicator of the physical integrity and condition of a structure. Two wireless sensor networks (WSNs) were deployed for the collection of real-time acceleration response of a 25-year old PSBB bridge under trucks with variable loads and speeds. The acceleration response of the bridge at its newest condition was collected from the dynamic simulations of its full-scale finite element (FE) models mimicking field conditions. The FE model was validated using experimental and theoretical methods. The acceleration data in time domain were transformed into frequency domain using Fast Fourier Transform to determine peak amplitudes and their corresponding fundamental frequencies for the newest and the current condition of the bridge. The analyses and comparisons of the bridge dynamic response between the newest and the current bridge interestingly indicate a 37% reduction in its fundamental frequency over its 25 years of service life. This reduction has been correlated to the current condition rating of the bridge to develop application software for quick and efficient condition assessment of a PSBB bridge. The application software can instantly estimate overall bridge condition rating when used with the WSN deployed on a PSBB bridge under vehicular loads. The research outcome and the software is expected to provide a cost-effective solution for assessing the overall condition of a PSBB bridge, which helps to reduce maintenance costs and provide technologically improved bridge maintenance service.
AKM Anwarul Isam, Ph.D. (Advisor)
Javed Alam, Ph.D. (Committee Member)
Frank Li, Ph.D. (Committee Member)
99 p.
Civil Engineering; Engineering
health monitoring of bridges; bridge condition assessment software; prestressed box beam bridge; wireless sensor network

Recommended Citations

Citations

  • Hamid, H. F. (2013). Bridge Condition Assessment Using Dynamic Response Collected Through Wireless Sensor Networks [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1391776500

    APA Style (7th edition)

  • Hamid, Hiwa. Bridge Condition Assessment Using Dynamic Response Collected Through Wireless Sensor Networks. 2013. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1391776500.

    MLA Style (8th edition)

  • Hamid, Hiwa. "Bridge Condition Assessment Using Dynamic Response Collected Through Wireless Sensor Networks." Master's thesis, Youngstown State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1391776500

    Chicago Manual of Style (17th edition)

ysu1391776500
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© 2013, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.
Release 3.2.12