United States Department of Transportation
i
Advancing Profile-Based Curl-and-Warp Analysis Using LTPP Profile Data
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2023-04-01
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[PDF-21.11 MB]
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Edition:Final Report
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Abstract: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.
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