Functional distress modelling in Portland cement concrete pavements

2003 ◽  
Vol 30 (4) ◽  
pp. 696-703
Author(s):  
Hernán de Solminihac ◽  
Marcelo G Bustos ◽  
Aníbal L Altamira ◽  
Juan Pablo Covarrubias
Keyword(s):  
Construction Material ◽  
Plain Concrete ◽  
Service Level ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Concrete Pavements ◽  
Road Maintenance ◽  
Portland Cement Concrete ◽  
Traffic Loads

Concrete is widely used as a construction material in pavements by public and private agencies that administer highway networks because of its high durability and capacity to resist large traffic loads and very rigorous climates. Nevertheless, these agencies have to estimate the evolution of pavement performance to plan and optimize the application of adequate maintenance activities, allowing the pavement to be maintained at an optimum service level throughout its lifetime. Predictive distress models of the incremental type, that is, models capable of predicting annual increments of different distress indicators in the pavement, could be very useful tools in the implementation of maintenance plans, with minimal need for previous data, especially with regard to information on cumulative traffic loads. This paper offers incremental models for distress prediction in jointed plain concrete pavements, related to joint problems such as faulting and spalling, which clearly affect the pavement ride quality. The equations obtained allow for not only the calculation of distress predictions in analyzing road maintenance policies, but also the adjustment of the original designs of these pavements, to minimize the occurrence and magnitude of distress problems.Key words: concrete pavements, distress models, pavement performance, pavement management systems.

Determination of Sample Size and Influencing Factors to Characterize Faulting in Jointed Concrete Pavements

2021 ◽  
pp. 036119812199670
Author(s):  
Ruohan Li ◽  
Jorge A. Prozzi
Keyword(s):  
Sample Size ◽  
Plain Concrete ◽  
Concrete Pavements ◽  
Portland Cement Concrete ◽  
Federal Highway ◽  
Significant Difference ◽  
Jointed Concrete Pavement ◽  
Functional Classes ◽  
High Precipitation ◽  
Departments Of Transportation

The objective of this study is to evaluate the field variability of jointed concrete pavement (JCP) faulting and its effects on pavement performance. The standard deviation of faulting along both the longitudinal and transverse directions are calculated. Based on these, the overall variability is determined, and the required sample sizes needed for a given precision at a certain confidence level are calculated and presented. This calculation is very important as state departments of transportation are required to report faulting every 0.1 mi to the Federal Highway Administration as required by the 2015 FAST Act. On average, twice the number of measurements are needed on jointed reinforced concrete pavements (JRCP) to achieve the same confidence and precision as on jointed plain concrete pavements (JPCP). For example, a sample size of 13 is needed to achieve a 95% confidence interval with a precision of 1.0 mm for average faulting of JPCP, while 26 measurements are required for JRCP ones. Average faulting was found to correlate with several climatic, structural, and traffic variables, while no significant difference was found between edge and outer wheelpath measurements. The application of Portland cement concrete overlay and the use of dowel bars (rather than aggregate interlock) are found to significantly reduce faulting. Older sections located on higher functional classes, and in regions of high precipitation or where the daily temperature change is larger, tend to have higher faulting, and might require larger samples sizes as compared with the rest when faulting surveys are to be conducted.

Analytical procedures for evaluating factors that affect joint faulting for jointed plain concrete pavements using the Long-Term Pavement Performance database

2006 ◽  
Vol 33 (10) ◽  
pp. 1279-1286
Author(s):  
Jong-Suk Jung ◽  
Emmanuel B Owusu-Antwi ◽  
Ji-Hwan An
Keyword(s):  
Cluster Analysis ◽  
Regression Tree ◽  
Plain Concrete ◽  
Classification And Regression Tree ◽  
Pavement Performance ◽  
Concrete Pavements ◽  
Analysis Techniques ◽  
Classification And Regression ◽  
Design And Construction

The objective of this study was to identify and quantify design and construction features most important to joint faulting of joint plain concrete pavements. With data obtained from the Long-Term Pavement Performance (LTPP) database, an analysis approach that combined pavement engineering expertise and modern data analysis techniques was to develop guidelines for improved design and construction of Portland cement concrete (PCC) pavement. The approach included typical preliminary analyses, but emphasis was placed on using a series of multivariate data analysis techniques. Discriminant analysis was used to develop models that classify individual pavement into performance groups developed by cluster analysis, which was used to partition the pavements into three distinct groups representing good, normal, and poor performance. These models can be used to classify and evaluate additional or new pavements performance throughout the pavement's design life. To quantify the levels of the key design and construction features that contribute to performance, the classification and regression tree procedure was used to develop tree-based models for performance measure. The analysis approach described was used to develop the guideline on the key design and construction features that can be used by designers to decrease joint faulting of jointed plain concrete pavements (JPCPs).Key words: faulting, Long-Term Pavement Performance (LTPP), jointed plain concrete pavement (JPCP), cluster analysis, discriminant analysis, classification and regression tree (CART) analysis.

scholarly journals Flexible Pavement Performance Evaluation in Ontario: an Overview

2021 ◽  
Author(s):  
Muzaffar Hassan
Keyword(s):  
Management System ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Physical Parameters ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Verification Techniques

Measuring pavement performance is a major component of the pavement management system. It assists in decision-making for finding the optimum strategies to provide, evaluate, and maintain serviceability in an acceptable condition cost effectively. The Ontario Ministry of Transportation (MTO) has been systematically rating pavement performance since the mid-1960s. Pavement condition survey involves measurement of two physical parameters: ride quality of pavement surfaces, and the extent and severity of pavement distress manifestations. The pavement ride quality can be measured with an acceptable level of consistency and repeatability through automation. However, achieving consistency in the evaluation of pavement distress manifestations is a challenging task because the automation that could accurately and consistently detect, quantify and record surface distresses is not fully developed is spite of rapid advances in video imagery and non-contact sensing devices. This report evaluates the progress made over the past three decades in the key areas of Distress Manifestation Index, Riding Comfort Rating, Pavement Condition Index and second generation Pavement Management System (PMS2). A review of the Ministryʼs network-level pavement performance database is presented, emphasizing pavement condition surveys, prediction models and main factors influencing assessment of long-term pavement performance. Several key issues related to the quality control and quality assurance of the pavement roughness are discussed with reference to the verification techniques used by the MTO. Based on the literature review, future recommendations for possible improvements of the prediction models and techniques used for the evaluation of pavement performance are presented in order to obtain more consistent values.

scholarly journals Performance Evaluation of JPCP with Changes of Pavement Mix Design Using Pavement Management Data

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Han Jin Oh ◽  
Jun Young Park ◽  
Hyung Bae Kim ◽  
Won Kyong Jung ◽  
Jung Hun Lee
Keyword(s):  
Performance Monitoring ◽  
Plain Concrete ◽  
Concrete Pavement ◽  
Pavement Management ◽  
Mix Design ◽  
Concrete Pavements ◽  
Concrete Mix Design ◽  
High Durability ◽  
Long Life

This study aimed to analyze long-term performance of JPCP (jointed plain concrete pavement) according to changes in standard mix design using evaluation of concrete properties based on Korea HPMS (highway pavement management system) and Korea LTPP (long-term pavement performance) data accumulated for over 15 years. The concrete pavements built in the 2010s by the specification of a durability-based mix design adopted in 2010 were found to have better performance with much fewer surface distresses than the concrete pavements built before 2010 by the specification of a classical strength-based mix design. Also, in order to realize long-life concrete pavement, experimental construction was carried out for high-durability concrete mix design. The performance monitoring data for the construction site implied that the high-durability mix design can make it possible to lead a long-life concrete pavement.

scholarly journals Flexible Pavement Performance Evaluation in Ontario: an Overview

2021 ◽  
Author(s):  
Muzaffar Hassan
Keyword(s):  
Management System ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Physical Parameters ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Verification Techniques

Measuring pavement performance is a major component of the pavement management system. It assists in decision-making for finding the optimum strategies to provide, evaluate, and maintain serviceability in an acceptable condition cost effectively. The Ontario Ministry of Transportation (MTO) has been systematically rating pavement performance since the mid-1960s. Pavement condition survey involves measurement of two physical parameters: ride quality of pavement surfaces, and the extent and severity of pavement distress manifestations. The pavement ride quality can be measured with an acceptable level of consistency and repeatability through automation. However, achieving consistency in the evaluation of pavement distress manifestations is a challenging task because the automation that could accurately and consistently detect, quantify and record surface distresses is not fully developed is spite of rapid advances in video imagery and non-contact sensing devices. This report evaluates the progress made over the past three decades in the key areas of Distress Manifestation Index, Riding Comfort Rating, Pavement Condition Index and second generation Pavement Management System (PMS2). A review of the Ministryʼs network-level pavement performance database is presented, emphasizing pavement condition surveys, prediction models and main factors influencing assessment of long-term pavement performance. Several key issues related to the quality control and quality assurance of the pavement roughness are discussed with reference to the verification techniques used by the MTO. Based on the literature review, future recommendations for possible improvements of the prediction models and techniques used for the evaluation of pavement performance are presented in order to obtain more consistent values.

Quantifying the Impact of Structural Fibers on the Performance of Concrete Overlays on Asphalt

2021 ◽  
Author(s):  
Thomas Burnham ◽  
Michael Wallace ◽  
Manik Barman
Keyword(s):  
Cross Sections ◽  
Plain Concrete ◽  
Fiber Reinforced Concrete ◽  
Test Facility ◽  
Asphalt Pavements ◽  
Ride Quality ◽  
Concrete Overlays ◽  
Traffic Loads ◽  
The Difference ◽  
The Impact

Concrete overlays on asphalt pavement, also known as whitetopping, are growing in popularity as an option for the rehabilitation of distressed asphalt pavements. The performance of whitetoppings over the past several decades has shown that under heavy and frequent traffic loads, they can be susceptible to panel migration and faulting due to the lack of tie bars and dowel bars within the thin cross sections. One mitigation method to reduce panel migration and faulting is the inclusion of structural fibers into the concrete mix. While structural fibers have anecdotally been shown to contribute toward better performance in whitetoppings, few studies have quantified the benefits provided by the typical dosage of fibers used in recent specifications. Two sets of similarly designed experimental test sections constructed at the MnROAD test facility in 2004 and 2013, have provided the opportunity to evaluate and quantify the impact of structural fibers on whitetopping performance. This comparison of the performance between plain concrete and fiber-reinforced concrete overlay test sections includes analysis of material properties of the mixes, the difference in response to environmental and traffic loads, typical distresses, and ride quality. Based on the results of the analysis, recommendations were made with regards to whether the types and dosages of structural fibers used in the test sections made a sufficient impact on performance.

Engineering Application of Washington State’s Pavement Management System

1998 ◽  
Vol 1643 (1) ◽  
pp. 25-33
Author(s):  
Michael J. Baker ◽  
Joe P. Mahoney ◽  
Nadarajah “Siva” Sivaneswaran
Keyword(s):  
Management System ◽  
Construction Material ◽  
Engineering Application ◽  
Structural Condition ◽  
Washington State ◽  
The State ◽  
Pavement Management ◽  
Pavement Performance ◽  
Pavement Management System ◽  
Analysis Group

Previous investigation into the Washington State Department of Transportation’s (WSDOT) Pavement Management System (WSPMS) revealed pavement sections on the state route system that were outperforming or underperforming other pavement sections constructed of similar materials and subjected to similar traffic and environmental conditions. Reasons were not clear. The WSPMS was used to identify superior and inferior candidate pavements for further investigation. All state route pavements were stratified into 18 distinct analysis groups, and population statistics were generated for each group providing WSDOT with a snapshot of the current “state of the state route system” and providing the basis for selecting candidate pavements. The five performance measures considered included: age of the surface course, a distress-based pavement structural condition score, annual design-lane equivalent single axle loads, roughness (in terms of International Roughness Index), and rutting. Results of the analysis suggest that WSDOT is properly designing layer thicknesses at appropriate reliability levels. Also, in 6 of 10 analysis group comparisons, inferior pavements were actually thicker than superior pavements. Both findings suggest that thickness design factors are not the primary cause of inferior performance in Washington State; construction, material and site specific factors are likely the cause. Additionally, in an international effort to exchange information on pavement performance and construction practices, highlights of a comparative study of pavement performance with South Africa’s Gauteng Department of Transportation are presented.

scholarly journals Life Extension of Aged Jointed Plain Concrete Pavement through Remodeling Index–Based Analysis

Materials ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 2982 ◽  
Author(s):  
Haekook Jung ◽  
Yongjae Kim ◽  
Seungwon Kim ◽  
Cheolwoo Park ◽  
Jeong-Hee Nam
Keyword(s):  
Preventive Maintenance ◽  
Plain Concrete ◽  
Traffic Volume ◽  
Concrete Pavement ◽  
Pavement Management ◽  
Life Extension ◽  
Concrete Pavements ◽  
Pavement Condition ◽  
Remodeling Index ◽  
High Traffic Volume

As jointed plain concrete pavements (JPCP) age in South Korea, the cost of pavement maintenance is increasing annually. To extend the life of jointed concrete pavements through preventive maintenance, this study used 2017 pavement management system data to analyze the effects of traffic volume, alkali–silica reaction (ASR) grade, age, smoothness, and damaged area on the remodeling index (RMI—a measure of expressway pavement condition). In addition, this study evaluates the final RMI as well as the corresponding pavement condition and change in RMI value after conducting preventive maintenance in lieu of resurfacing or overlaying. The results demonstrated that the effect of ASR grade increased as the RMI forecast year increased and that change in surface distress (△SD) increased with age (most intensively when the pavement was 15–20 years of age). Moreover, change in international roughness index (△IRI) increased with age and traffic volume (similarly within 15–20 years of pavement age). Hence, preventive maintenance is a must for sections with high traffic volume and age even if the RMI is low. Finally, performing repairs through preventive maintenance decreases the number of expressway sections requiring resurfacing and overlaying, thus extending the life of the concrete pavement.

A Tale of Two Pavements: Forensic Investigation of an Unbonded Concrete Overlay and a Concrete Pavement Reconstruction on I-40 near Flagstaff, Arizona

2018 ◽  
Vol 2672 (40) ◽  
pp. 264-274 ◽  
Author(s):  
Thomas J. Van Dam ◽  
Nicole Dufalla ◽  
Linda Pierce
Keyword(s):  
Good Condition ◽  
Plain Concrete ◽  
Concrete Pavement ◽  
Petrographic Analysis ◽  
Concrete Pavements ◽  
Portland Cement Concrete ◽  
Deicing Chemicals ◽  
Concrete Joints ◽  
High Level ◽  
Aggregate Base

In 1990, the Arizona Department of Transportation (ADOT) constructed a Specific Pavement Studies (SPS)-6 experiment on eastbound Interstate 40 (I-40) east of Flagstaff, AZ, as part of the Long-Term Pavement Performance Program. The SPS-6 experiment was designed to evaluate treatment and rehabilitation options for an existing concrete pavement. Nineteen sections were constructed, one of which was a 10 in. thick unbonded concrete overlay (UBCOL). Additionally, ADOT planned to construct an 11 in. unbonded portland cement concrete (PCC) overlay on the adjacent I-40 westbound to investigate benefits of additional concrete thickness. The eastbound unbonded PCC overlay has significantly outperformed all other pavement sections and remains in good condition after 27 years of service. However, the westbound PCC section is severely distressed and in need of immediate rehabilitation. An investigation was conducted to evaluate why two similar unbonded PCC overlays performed with vastly different results. It was found that the westbound “unbonded PCC overlay” was not an overlay after all, but instead a 12 to 13 in.thick jointed plain concrete pavement (JPCP). The high level of distress in the westbound JPCP is likely related to the presence of a weak subgrade that infiltrated the aggregate base. Additionally, during coring, water filled the core holes suggesting that the subgrade in the westbound direction was saturated. Further, petrographic analysis indicated deicing chemicals contributed to corrosion of the dowel bars and deterioration of the concrete joints. This investigation demonstrates some advantages for using unbonded overlays as rehabilitation alternatives for existing concrete pavements.

Calibration of Performance Models for Jointed Plain Concrete Pavements Using Long-Term Pavement Performance Database

1998 ◽  
Vol 1629 (1) ◽  
pp. 108-116 ◽  
Author(s):  
Marcelo Bustos ◽  
Hernáan E. De Solminihac ◽  
Michael I. Darter ◽  
Andres Caroca ◽  
Juan Pablo Covarrubias
Keyword(s):  
Plain Concrete ◽  
Pavement Performance ◽  
Concrete Pavements ◽  
Performance Models ◽  
Climatic Regions ◽  
Transverse Cracking ◽  
Global Calibration ◽  
Regional Factors

A methodology for calibrating performance models for jointed plain concrete pavements (JPCP) is presented; it is based on statistical analysis of data from the Long-Term Pavement Performance (LTPP) database. The methodology provides calibration factors to pavements in four climatic regions (dry-freeze, dry-nonfreeze, wet-freeze, and wet-nonfreeze) for the JPCP performance models in HDM-4: joint faulting, transverse cracking, joint spalling, and roughness. The procedure allows calculation of global calibration factors, which does not affect significantly the quality of the prediction compared with the quality achieved through the use of regional factors.

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