Type of Document Dissertation Author Scott, Michael Leon Author's Email Address miscott@vt.edu URN etd-081199-184611 Title Automated Characterization of Bridge Deck Distress Using Pattern Recognition Analysis of Ground Penetrating Radar Data Degree PhD Department Civil Engineering Advisory Committee
Advisor Name Title Duke, John C. Jr. Committee Co-Chair Weyers, Richard E. Committee Co-Chair Brown, Gary S. Committee Member Conners, Richard W. Committee Member Flintsch, Gerardo W. Committee Member Keywords
- data processing
- bridge deck, ground penetrating radar, pattern rec
Date of Defense 1999-08-02 Availability unrestricted Abstract Many problems are involved with intspecting and evaluating the condition ofbridges in the United States. Concrete bridge deck inspection and evaluation
presents one of the largest problems. The deterioration of these concrete
decks progresses more rapidly than any other bridge component, which leads to
early concrete deck replacements that must be done before the bridge
superstructure needs to be replaced. The primary cause of deterioration in
these concrete bridge decks is corrosion-induced concrete cracking, which
frequently results in delaminations. Delamination distress increases the life
cycle cost of maintaining a concrete bridge deck, particularly when it is not
detected early on. Early detection of delamination distress can facilitate
economical repair and rehabilitation work, but bridge engineers must recommend
deck replacement if repairs are delayed too long or inspection tools cannot detect
delaminations early enough.
The Federal Highway Administration has responded to the need for a better
bridge deck inspection tool by contracting Lawrence Livermore National Laboratory
to develop two new prototype ground penetrating radar systems. These two systems
generate three-dimensional data that provide a representation of features that lie
below the bridge deck surface. Both of these systems produce large amounts of
data for an individual bridge deck, which makes automated data processing very
desirable. The primary goal of the automated processing is to characterize bridge
deck distress represented in the data. This study presents data collected from
sample bridge deck sections using one of the prototype systems. It also describes
the development and implementation of appropriate methods for automating data
processing. The automated data processing is accomplished using image processing
and pattern recognition algorithms developed in the study.
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28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access appendix.pdf 860.26 Kb 00:03:58 00:02:02 00:01:47 00:00:53 00:00:04 chapter1.pdf 722.26 Kb 00:03:20 00:01:43 00:01:30 00:00:45 00:00:03 chapter2.pdf 1.66 Mb 00:07:39 00:03:56 00:03:26 00:01:43 00:00:08 chapter3.pdf 520.46 Kb 00:02:24 00:01:14 00:01:05 00:00:32 00:00:02 chapter4.pdf 614.83 Kb 00:02:50 00:01:27 00:01:16 00:00:38 00:00:03 chapter5.pdf 13.79 Kb 00:00:03 00:00:01 00:00:01 < 00:00:01 < 00:00:01 front.pdf 22.73 Kb 00:00:06 00:00:03 00:00:02 00:00:01 < 00:00:01 references.pdf 12.90 Kb 00:00:03 00:00:01 00:00:01 < 00:00:01 < 00:00:01 vita.pdf 5.08 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
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