Performance-Related Specifications for PCC Pavements in Kansas
Publication: Journal of Materials in Civil Engineering
Volume 24, Issue 4
Abstract
Statistical specifications for highway construction provide the means to measure important quality control attributes and ensure their compliance. The pay adjustments in these specifications reflect the amount of pay reduction and the optimized risk distributed between the owner agency and the contractor. The Kansas Department of Transportation (KDOT) has built a comprehensive database of as-constructed properties of materials for Portland cement concrete (PCC) pavements from the tests required as part of the quality control/quality assurance (QC/QA) program. Currently, KDOT pays incentives/disincentives for thickness and strength for PCC pavements. A practical performance model and composite index that include these two quality characteristics (thickness and strength) and air content for durability are needed to reflect the combined effect on the performance of PCC pavements. The main objectives of this study were to investigate the effect of levels of significance and lot size and to develop a practical performance model and composite index for PCC pavements in Kansas. Thirteen projects from four administrative districts of KDOT were selected for this study. Statistical analysis software was used for statistical analysis. Microsoft Excel was used to develop the performance models. Lot-wise comparison showed that QC means are significantly different in most of the cases. These cases increase with an increase in significance level. A practical performance model and composite index using quality characteristics (thickness, strength, and air content) have been proposed as an integral part of performance-related specifications in Kansas.
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Acknowledgments
The authors would like to acknowledge the Kansas Department of Transportation for sponsoring this study. Special thanks to Mr. Rick Barzenski, previously with KDOT, Mr. Stephen Morris, and Mr. Bill Parcells of KDOT for providing QC/QA data for this study.
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© 2012. American Society of Civil Engineers.
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Received: Jan 28, 2011
Accepted: Oct 19, 2011
Published online: Oct 21, 2011
Published in print: Apr 1, 2012
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