Advancing Profile-Based Curl-and-Warp Analysis Using LTPP Profile Data

This report is focused on predicting and quantifying curling and warping of jointed portland cement concrete pavements. Researchers used the comprehensive research-quality datasets available through the Long-Term Pavement Performance (LTPP) program, supplemented by additional datasets collected by other Federal Highway Administration studies. The analyzed test sections are part of either the Specific Pavement Studies-2 or General Pavement Studies-3 LTPP experiments. Researchers assessed the impact of curl and warp on fluctuations of the International Roughness Index (IRI); generalized IRI and pseudostrain gradient (PSG) relationships to less-robust datasets (i.e., datasets typically available to State highway agencies); correlated PSG to environmental factors, falling weight deflectometer results, and measured roughness; and examined the implications of short- and long-term changes in IRI in the appearance of areas of localized roughness. Researchers also completed a literature review describing work on profile-based estimates of curl and warp and the influence of curl and warp on the IRI. Theoretical and analytical modeling showed that the original hypothesis of a direct relationship between PSG and IRI was valid, but that the assumption of a linear relationship was incorrect. Researchers proposed an alternative model that produced a high correlation between IRI and PSG on field data with diurnal and seasonal changes in curl and warp.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 483p

Subject/Index Terms

Filing Info

  • Accession Number: 01909267
  • Record Type: Publication
  • Report/Paper Numbers: FHWA-HRT-20-066
  • Contract Numbers: DTFH6114C00015
  • Files: NTL, TRIS, USDOT
  • Created Date: Feb 22 2024 4:13PM