Pavement Performance Equations

Pavement Performance Equations PDF Author: Joe P. Mahoney
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 58

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Book Description

Pavement Performance Equations

Pavement Performance Equations PDF Author: Joe P. Mahoney
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 58

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Book Description


Pavement Performance Equations. Final Report

Pavement Performance Equations. Final Report PDF Author: Joe P. Mahoney
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

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Development of a Flexible Pavement Performance Equation

Development of a Flexible Pavement Performance Equation PDF Author: John M. Vyce
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 34

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Database Design for Developing Pavement Performance Equations

Database Design for Developing Pavement Performance Equations PDF Author: Chhote Saraf
Publisher:
ISBN:
Category : Database design
Languages : en
Pages : 78

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Development of Performance Equations and Survivor Curves for Flexible Pavements

Development of Performance Equations and Survivor Curves for Flexible Pavements PDF Author: Alberto Garcia-Diaz
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 194

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Pavement Performance Curves. Final Report

Pavement Performance Curves. Final Report PDF Author: W. L. Gramling
Publisher:
ISBN:
Category :
Languages : en
Pages : 66

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Early Analyses of Long-term Pavement Performance General Pavement Studies Data

Early Analyses of Long-term Pavement Performance General Pavement Studies Data PDF Author: J. Brent Rauhut
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 114

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Book Description
The purpose of this report is to share the experience gained and lessons learned by research staff during early data analyses of the General Pavement Studies (GPS) and to recommend procedures for future analysts. A review of the techniques used is provided. Shortcomings of the Long-Term Pavement Performance (LTPP) Data Base, known at the time of early analyses, are discussed and data base expectations for future analyses were identified. Some interesting and useful distress and roughness prediction models were developed that illustrate the effects of several design variables. Other analytical procedures for developing predictive equations were identified and described, which may be of use in future analyses. Ten techniques used by the research staff for evaluating the American Association of Highway and Transportation Officials (AASHTO) design equations are identified and recommendations for future evaluations provided.

Proposed Performance-prediction Equations and Threshold Triggers for Thin-overlay Treatments Using the Long-term Pavement Performance Database

Proposed Performance-prediction Equations and Threshold Triggers for Thin-overlay Treatments Using the Long-term Pavement Performance Database PDF Author: Michael D. Elwardany
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 26

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Book Description
The purpose of pavement-preservation treatments is to correct surface defects, improve ride quality, improve safety characteristics, and extend pavement life without increasing the structural capacity of the pavement. The application of a thin overlay is expected to extend the life of a pavement by 8–10 yr, although this range may vary depending on traffic, environmental conditions, quality of the materials, and workmanship. Thin overlays do not significantly increase the structural capacity of a pavement. Thus, the existing pavement condition should be evaluated carefully prior to the application of a thin overlay to ensure that structural rehabilitation is not necessary. A set of guidelines to determine the best time to apply thin-overlay treatments would help highway agencies optimize their budgets, thereby leading to potentially significant taxpayer savings. The objective of this study was to develop guidelines, parameters, and performance-prediction equations to select the most appropriate time to apply a thin-overlay treatment based on the condition of the existing pavement. To arrive at the proposed guidelines, data from the Long-Term Pavement Performance (LTPP) Program Specific Pavement Studies 3 and 5 were used to evaluate the effects of climate, traffic, existing asphalt concrete (AC)–layer thickness, and overlay thickness on the life extension that results from the application of thin-overlay treatments. The results demonstrate that threshold triggers based on longitudinal cracking in the wheel path and rutting severity can be used to select the best time to apply a thin overlay in order to achieve a target pavement-life extension. Analysis of the LTPP data shows that both the traffic level and existing AC-layer thickness significantly affect the life extension that results from the application of a thin overlay in terms of retarding rutting and longitudinal cracking, respectively. This paper presents empirical equations to predict the life gain that can be achieved from a thin-overlay treatment based on the existing pavement conditions.

Pavement Performance Models

Pavement Performance Models PDF Author: Matthew W. Witczak
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 202

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Development of Predictive Equations Based on Pavement Condition Index Data

Development of Predictive Equations Based on Pavement Condition Index Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 263

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Book Description
This research project evaluated runway pavement condition survey information in order to develop models or equations capable of predicting future pavement performance and projected life expectancy. The data was obtained from the Federal Aviation Administration (FAA), and the Washington State Department of Transportation (WSDOT). A previous research report analyzed the first set of Pavement Condition Index (PCI) data obtained from runway pavements in the tri- state area of Washington, Oregon, and Idaho. The analysis performed in this report included only runways with a second set of PCI survey data. The two primary surface categories evaluated were flexible and rigid pavements. The former includes asphalt concrete (AC) original surface courses, AC overlays, bituminous surface treatments (BSTs), and slurry seal maintenance applications. The latter consisted only of portland cement concrete pavements. Statistical analysis in the form of regression modeling was applied to the available data and various models/equations and graphic representations developed to predict pavement performance and projected life. The models and graphs were developed using the software packages MINITAB and Microsoft Cricket Graph, respectively.