Profile data analysis to quantify concrete pavement slab curvature and other behavior

Curvature of jointed concrete pavement surfaces due to curling and warping and its effects on long-term performance has been a major issue in recent years. A research project is currently underway, sponsored by the United States Department of Transportation, Federal Highway Administration, entitled, "Inertial Profile Data for Pavement Performance Analysis." The goal of this project is to better understand the nature and role of the curling and warping phenomenon. As a result, efficient techniques to minimize its impact during design and construction are being identified. The core of the data gathering activities includes extensive profile data collection on jointed concrete pavements throughout the United States. Profiles are being collected both diurnally (throughout the day) and seasonally (throughout the year). To process the profile data, new techniques are being developed for joint identification that allow individual concrete slabs to be catalogued. Analysis techniques are also been developed to quantify slab curvature mid slab, and faulting at the joints. These techniques include cross correlation and spatial and spectral filtering. Given the large volume of data, development of these methods has proceeded with the goal of fully automating the data reduction process. In this paper, the data collection, analysis, and various findings from this project to date will be presented.


  • English

Media Info

  • Pagination: 12p

Subject/Index Terms

Filing Info

  • Accession Number: 01389569
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Aug 23 2012 3:35AM