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AUTOMATED AND ENHANCED POST-PROCESSING OF MULTIPLE REFERENCE IMPACT TEST (MRIT) DATA

KANGAS, SCOTT JONATHAN
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1070576205

Abstract Details

2003, MS, University of Cincinnati, Engineering : Electrical Engineering.
A significant amount of the nation's highway bridges are functionally obsolete or structurally deficient. The deficient structures represent significant impediments to safe and economical use of the highway system. This in turn results in safety hazards, higher user costs, and huge outlays for preservation and replacement. The complexities and costs associated with preserving the nation's bridge infrastructure demand innovative approaches to experimental and analytical studies, collection and analysis of data and prediction of current and future bridge preservation actions. These needs, coupled with the availability of modern analytical methods and high-speed computers, are leading to the development of new technologies and an interdisciplinary approach to the problem. Currently, bridge evaluation is done on an inspection basis, which is labor intensive considering the large number of bridges requiring inspection each year. A basic weakness in this current approach is bridges are rated based on a subjective condition assessment. Previous research by the University of Cincinnati Infrastructure Institute (UCII) has introduced a non-destructive testing and evaluation methodology to objectively assess the present bridge condition. Dynamic properties of the civil structure are identified to provide a modal flexibility, which has been shown to be condition sensitive. The present thesis is based on previous work provided by Dr. Michael Lenett and Dr. Necati Catbas. It focuses on reducing the amount of post-processing effort, to provide real-time condition assessment, and to incorporate system checks to validate the data and results achieved.
Dr. Arthur Helmicki (Advisor)
182 p.
condition assessment; modal testing; non-destructive testing &; evaluation

Recommended Citations

Citations

  • KANGAS, S. J. (2003). AUTOMATED AND ENHANCED POST-PROCESSING OF MULTIPLE REFERENCE IMPACT TEST (MRIT) DATA [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1070576205

    APA Style (7th edition)

  • KANGAS, SCOTT. AUTOMATED AND ENHANCED POST-PROCESSING OF MULTIPLE REFERENCE IMPACT TEST (MRIT) DATA. 2003. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1070576205.

    MLA Style (8th edition)

  • KANGAS, SCOTT. "AUTOMATED AND ENHANCED POST-PROCESSING OF MULTIPLE REFERENCE IMPACT TEST (MRIT) DATA." Master's thesis, University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1070576205

    Chicago Manual of Style (17th edition)

ucin1070576205
821
© 2003, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.