Title: ROUGHNESS PROGRESSION MODEL ON KANSAS PCC PAVEMENTS
Abstract: This study uses a statistical analysis approach to develop an accurate, time-dependent roughness prediction model for new constructed portland cement concrete (PCC) pavements in Kansas. The model was developed using construction and materials data as well as historic roughness, traffic, inventory and climatic data. Using multiple regression analysis, a time-dependent roughness (International Roughness Index, IRI) prediction model was developed. The developed model produced output values that are very close to the actual IRI values. The 20-year and 30-year IRI values were also predicted, with good coefficients of determination value in most cases. Results show that the PCC pavements with stabilized, non-drainable bases would likely outperform those with stabilized, drainable bases for most projects. Higher PCC slab thickness would result in higher future roughness values. The future predicted roughness did not appear to be very sensitive to traffic. The sensitivity analysis conducted in this study quantified, to some degree, the impact of various key input parameters on the time-dependent PCC pavement roughness profile.
Publication Year: 2003
Publication Date: 2003-01-01
Language: en
Type: article
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Cited By Count: 1
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