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Hyperspectral Image Analysis for Mechanical and Chemical Properties of Concrete and Steel Surfaces
INSPIRE-UTC Annual Meetings
  • Liang Fan, Missouri University of Science and Technology
  • Paul Manley, Missouri University of Science and Technology
  • Huaishuai Shang, Missouri University of Science and Technology
  • Abdullah Alhaj, Missouri University of Science and Technology
  • Hongyan Ma, Missouri University of Science and Technology
  • Genda Chen, Missouri University of Science and Technology
Description

According to the 2017 ASCE Report Card, 39% and 15% of 614,387 bridges in the U.S. are more than 50 years and 40 to 49 years, respectively. The number of deficient bridges is increasing. One of the most common causes of reinforced concrete deterioration is corrosion of steel reinforcing bars. Currently, most bridges are visually inspected every two years using boom/snooper trucks to get access to various areas to be inspected. The subjective visual inspection often leads to inconsistent results that are less useful in bridge management. Hyperspectral camera, installed on an unmanned aerial vehicle, can potentially supplement visual inspection with quantifiable and reliable imagery from remote and safe operations. It can be used to identify physical characteristics (e.g., concrete cracks)and characterize chemical features (e.g., steel corrosion).

Start Date
8-14-2018 7:45 AM
End Date
8-14-2018 5:00 PM
Meeting Name
INSPIRE-UTC 2018 Annual Meeting
Department(s)
Civil, Architectural and Environmental Engineering
Comments
Financial support for this INSPIRE UTC project is provided by the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through INSPIRE University Transportation Center (http://inspire-utc.mst.edu) at Missouri University of Science and Technology.
Document Type
Poster
Document Version
Final Version
File Type
text
Language(s)
English
Citation Information
Liang Fan, Paul Manley, Huaishuai Shang, Abdullah Alhaj, et al.. "Hyperspectral Image Analysis for Mechanical and Chemical Properties of Concrete and Steel Surfaces" (2018)
Available at: http://works.bepress.com/genda-chen/430/