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

The goal of this project is to develop a UAV-based Aerial 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 bridge 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.

  • Record URL:
  • Corporate Authors:

    University of Nebraska, Lincoln

    Charles Durham School of Architectural Engineering and Construction
    College of Engineering, 1110 67th Street
    Omaha, NE  United States  69182

    University of Delaware, Newark

    Department of Civil and Environmental Engineering, DuPont Hall
    Newark, DE  United States  19716

    Nebraska Department of Transportation

    Research Section, 1400 Highway 2
    Lincoln, NE  United States  68509

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    U.S. Department of Transportation

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Shen, Zhigang
    • Cheng, Chongsheng
    • Shang, Zhexiong
  • Publication Date: 2020-12

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; Photos; References; Tables;
  • Pagination: 44p

Subject/Index Terms

Filing Info

  • Accession Number: 01765692
  • Record Type: Publication
  • Report/Paper Numbers: SPRP1(20) M109
  • Contract Numbers: SPRP1(20) M109
  • Files: TRIS, ATRI, USDOT, STATEDOT
  • Created Date: Feb 22 2021 10:22AM