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ETD Abstract Container

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A Turnkey Solution for a Web-Based Long-Term Health Bridge Monitor Utilizing Low Speed Strain Measurements and Predictive Models

KIMMEL, GREGORY
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209055105

Abstract Details

2008, MS, University of Cincinnati, Engineering : Electrical Engineering.
The University of Cincinnati Infrastructure Institute (UCII) has supported the Ohio Department of Transportation (ODOT) since 1998 in maintaining the Ironton-Russell Bridge. UCII installed a series of vibrating wire strain gages to provide measurements of long-term environmental effects. The results are stored in a datalogger and downloaded at periodic intervals. A requirement to provide ODOT with an easy-to-use web-based interface to view the strain and temperature results led to a complete turnkey solution for a long-term health bridge monitor, utilizing low-speed strain measurements and predictive models. The web-based bridge monitor automatically stores the strain and temperature measurements in a MySQL database, creates linear regression models for fault detection, alerts ODOT officials of anomalies, and creates plots or exports readings from a simple web interface.
Aruthur Helmicki, PhD (Committee Chair)
Victor Hunt, PhD (Committee Member)
Ali Minai, PhD (Committee Member)
James Swanson, PhD (Committee Member)
123 p.
Engineering
Bridge Monitoring

Recommended Citations

Citations

  • KIMMEL, G. (2008). A Turnkey Solution for a Web-Based Long-Term Health Bridge Monitor Utilizing Low Speed Strain Measurements and Predictive Models [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209055105

    APA Style (7th edition)

  • KIMMEL, GREGORY. A Turnkey Solution for a Web-Based Long-Term Health Bridge Monitor Utilizing Low Speed Strain Measurements and Predictive Models. 2008. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209055105.

    MLA Style (8th edition)

  • KIMMEL, GREGORY. "A Turnkey Solution for a Web-Based Long-Term Health Bridge Monitor Utilizing Low Speed Strain Measurements and Predictive Models." Master's thesis, University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209055105

    Chicago Manual of Style (17th edition)

ucin1209055105
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© 2008, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.