To Automate Detecting, Quantifying and Mapping of Delamination via Arial Thermography

Details

• Creators:
  Shen, Zhigang ; Cheng, Chongsheng ; Na, Ri ; Shang, Zhexiong
• Corporate Creators:
  University of Nebraska--Lincoln. Charles W. Durham School of Architectural Engineering and Construction ; University of Delaware. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Nebraska. Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Bridge decks
  • Concrete bridges
  • Delamination
  • Detection and identification system applications
  • Drones
  • Image processing
  • Infrared imagery
  • Machine learning
  • Segmentation (Communications)
  • Time windows
  More +
• Publication/ Report Number:
  SPRP1(20) M109
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report July 2019 to December 2020
• Corporate Publisher:
  Nebraska. Department of Transportation
• Abstract:
  The goal of this project is to develop a UAV-based Arial thermographic method to detect and map the delamination on concrete bridge decks. Several image processing methods such as level-set and machine-learning were developed in this project. The developed method is high-efficient and low-cost and requires no-traffic-closure during the surveying process. The coring outcomes from four different concrete bride decks validated the performance of this developed method. The coring results suggested that this method outperformed several existing methods in detecting delamination in concrete bridge decks in terms of efficiency, accuracy, cost, and safety.
• Format:
  PDF
• Funding:
  SPRP1(20) M109
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/55858/dot_55858_DS1.pdf
• File Type:
  [PDF - 4.77 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:48c9ce44a8eb840d8d14c73dbe16f9a01dcd10ff2b8499b70368ab4c326d194f