United States Department of Transportation
i
Enhancing GDOT’s Jointed Plain Concrete Pavement (JPCP) Rehabilitation Program Using Emerging 3D Sensing Technology and Historical Concrete Condition Survey Data
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2016-12-01
[PDF-2.76 MB]
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Edition:Final; June 2013 – December 2016
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Abstract:The Georgia Department of Transportation (GDOT) has established a data-driven JPCP (jointed plain concrete pavement) maintenance and management program, in which the JPCSPs are evaluated annually using a standardized concrete pavement condition evaluation system (CPACES) and the data (e.g., faulting index and broken slab) is used to support maintenance, rehabilitation, and reconstruction (MR&R) decisions, including determining treatment method and prioritizing projects. Today, a majority of Georgia’s JPCPs (e.g., I-16) have been in service for more than four decades with minor maintenance and no or little rehabilitation; they are now are in great need of MR&R, including actions such as broken slab replacement, grinding, re-sealing, etc., or full lane replacement. Faced with the challenges of limited funding and the increasing needs for JPCP MR&R, GDOT now relies on the data more than ever to make informed decisions for timely and cost-effective JPCP MR&R and to justify spending to the legislature. GDOT has conducted its annual pavement evaluation on JPCPs based on its CPACES since the 1970s, and the data has been used for triggering treatment, determining treatment method, prioritizing projects, etc. However, the CPACES distress protocol has not been updated for many years. In this project, a critical assessment of CPACES distress protocol was conducted by conducting field distress survey, interviewing GDOT engineers, and reviewing historical CPACES data, and issues (including negative faulting, distress categorization, etc.) were identified in the existing CPACES. The Georgia Tech (GA Tech) team had worked closely with the Office of Maintenance to 1) refine the CPACES distress protocol to address the issues identified, 2) develop an enhanced slab replacement quantity estimation method using 3D laser data to accurately estimate the needs, and 3) develop preliminary models for predicting segment-level faulting and broken slabs in support of future MR&R planning.
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