Using Light Detection and Ranging Technology for Concrete Pavement Curling and Warping Measurement

Repeated deflection behavior resulting from temperature and moisture variations across concrete pavement depth causes curling and warping of Portland cement concrete (PCC) pavement systems. Although curling and warping issues have been investigated extensively, there are no standardized methods or procedures currently available to characterize the degree/magnitude of curling and warping in-situ and their impact on long-term pavement performance is not well understood. This study discusses the development of a detailed procedure for assessing concrete pavement curling and warping using a Light Detection and Ranging (LiDAR) system. LiDAR systems have been recognized as promising technology for transportation infrastructure inspection, but have not been widely investigated for measuring curling and warping. In this study, field surveys were conducted on six identified PCC pavement sites in Iowa by scanning the slab surfaces using a stationary LiDAR instrument. Based on dense point cloud data obtained by the LiDAR instrument, a data processing algorithm was developed to obtain the degrees of curling and warping. The results and findings from this study describe a potentially novel and promising method of using LiDAR system for curling and warping characterization and analysis.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Yang, Shuo
    • Ceylan, Halil
    • Gopalakrishnan, Kasthurirangan
    • Kim, Sunghwan
    • Taylor, Peter C
    • Alhasan, Ahmad
  • Conference:
  • Date: 2017


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 14p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01625889
  • Record Type: Publication
  • Report/Paper Numbers: 17-05434
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 13 2017 5:19PM