United States Department of Transportation
i
for effective asset management – pilot project.
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2016-09-29
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[PDF-5.01 MB]
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Abstract:This project piloted the findings from an initial research and development project pertaining to the detection,
quantification, and visualization of bridge deck distresses through the use of remote sensing techniques, specifically
combining optical and thermal imagery, and expanded by increasing the rate of data collection to near-highway
speed (speeds of at least 45 mph). Specifically, six large deck bridges (>90,000 sf) were assessed, without closing
lanes to traffic, and are presented. Top deck concrete surfaces were evaluated for spalls and delaminations, and
were recapped in map-based and table-based element level summaries with percentage and area by condition state
and by span. Personnel and computing times were documented, and costs were estimated for a similar future bridge deck
condition assessment for a large deck bridge. Additionally, this pilot project conducted a 3-D Optical Bridge-evaluation
System (3DOBS) accuracy assessment, and provided training and demonstration sessions to help MDOT
personnel understand and implement these technologies.
By identifying element level condition states of concrete decks through innovative methods of data collection and
advanced data processing, implementation of these combined remote sensing technologies has the potential to
become a standard MDOT business practice.
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