Lessons Learned on Jointed Concrete Pavement Rehabilitation Strategies in Texas

2006 ◽  
Vol 132 (3) ◽  
pp. 257-265 ◽  
Author(s):  
Dar Hao Chen ◽  
Tom Scullion ◽  
John Bilyeu
Keyword(s):  
Concrete Pavement ◽  
Lessons Learned ◽  
Pavement Rehabilitation ◽  
Jointed Concrete Pavement ◽  
Rehabilitation Strategies

Analysis by High-Speed Profile of Jointed Concrete Pavement Slab Curvatures

2000 ◽  
Vol 1730 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Christopher R. Byrum
Keyword(s):  
High Speed ◽  
Profile Analysis ◽  
Concrete Pavement ◽  
Pavement Management ◽  
Pavement Performance ◽  
Analysis Method ◽  
Pavement Rehabilitation ◽  
Curvature Index ◽  
Jointed Concrete Pavement

A high-speed pavement profile analysis method that detects curvature present in the wheelpaths of jointed concrete pavement slabs is presented. This technique can be used to analyze slab curvatures present in pavements and caused by curling and warping forces. The FHWA Long-Term Pavement Performance (LTPP) program has obtained high-speed elevation profiles for the jointed concrete pavements in the study. This profile analysis method reads an LTPP profile and detects imperfections in the road curvature profile, which typically are joints and cracks. It then analyzes the slab regions (intact slab segments) between these numerical imperfections for the presence of curvature. The result of a profile analysis is a road profile index—the curvature index—which represents the average slab curvature present along the wheelpaths for the profile. This profile analysis method was applied to more than 1,100 LTPP GPS3 profiles. The range of the slab curvatures encountered is described, and some key factors related to apparent locked-in curvatures (related to warping and construction) are discussed. The amount of locked-in curvature in slabs significantly affects slab behavior and long-term pavement performance. Curvature information should be available to pavement rehabilitation engineers making fix type and funding decisions for pavements. This new analysis method could be implemented rapidly in routine pavement profile analysis and pavement management systems.

Knowledge-Based Scheduling Analysis Software for Highway Rehabilitation and Reconstruction Projects

2005 ◽  
Vol 1907 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Eul-Bum Lee ◽  
John T. Harvey ◽  
Michael M. Samadian
Keyword(s):  
Critical Path ◽  
Agency Cost ◽  
Road User ◽  
Successful Implementation ◽  
Analysis Tool ◽  
California Department ◽  
Pavement Rehabilitation ◽  
Knowledge Based ◽  
Urban Freeway ◽  
Rehabilitation Strategies

Most of California's highway infrastructure was built between 1955 and 1970. These pavements had 20-year design lives, and many now require frequent maintenance. In 1998, the California Department of Transportation (Caltrans) launched the Long-Life Pavement Rehabilitation Strategies (LLPRS) program to rebuild approximately 2,800 lane kilometers of high-traffic-volume urban freeway in the 78,000-lane kilometer state highway network over a 10-year period. Priorities identified for the successful implementation of LLPRS projects are the selection of construction schedules and the development of traffic management plans that minimize road user and agency costs. This paper presents a construction simulation program called CA4PRS (Construction Analysis for Pavement Rehabilitation Strategies). The program was developed as a scheduling and production analysis tool for LLPRS projects for use during the planning and design stages. CA4PRS estimates the optimized distance and duration of highway rehabilitation projects. It takes into account the constraints of scheduling interfaces, pavement design, lane closure tactics, and contractor logistics. As a knowledge-based computer system on a Microsoft Access database, it uses Monte Carlo simulation, critical path method analysis, and linear scheduling. CA4PRS is designed to help highway agencies and paving contractors make construction schedule decisions that balance rehabilitation productivity, traffic inconvenience, and agency cost. Application of the CA4PRS model to urban freeway rehabilitation projects in California, including the I-10 Pomona, I-710 Long Beach, and I-15 Devore projects, has demonstrated its value in saving millions of dollars for both Caltrans and road users.

Development of a New Faulting Model in Jointed Concrete Pavement using LTPP Data

2019 ◽  
Vol 2673 (5) ◽  
pp. 407-417 ◽  
Author(s):  
Yu Chen ◽  
Robert L. Lytton
Keyword(s):  
Prediction Models ◽  
Information Criterion ◽  
Concrete Pavement ◽  
Pavement Design ◽  
Ride Quality ◽  
Related Factors ◽  
Pavement Roughness ◽  
Proposed Model ◽  
Jointed Concrete Pavement ◽  
Two Stages

Faulting is a major and commonplace distress in jointed concrete pavement (JCP) that can directly cause pavement roughness and adversely influence the ride quality of a vehicle. Faulting also plays an essential role in concrete pavement design. Notwithstanding the importance of faulting, the accuracy and reasonability of the faulting prediction models that have been developed to date remain controversial. Furthermore, the process of faulting over time is still not fully understood. This paper proposes a novel mechanistic-empirical model to estimate faulting depth at joints in the wheel path in JCP. Two stages within the process of faulting were revealed by the model and are introduced in this study. To distinguish the two stages of faulting, an inflection point, as a critical faulting depth, was directly determined by this model and suggested to be an indicator of the initiation of erosion for concrete pavement design. The proposed model was proven accurate and reliable by using long-term pavement performance data. The parameters in the model were statistically calibrated with performance-related factors by Akaike’s Information Criterion for variable selection and performing stepwise regression.

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