for effective asset management – pilot project.
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2016-09-29
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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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Main Document Checksum:urn:sha256:56c343eaf5624cdd76c053fa4f509f8a39be5700e853f1fc64c73538b26022e2