Author: Joe P. Mahoney
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 58
Book Description
Pavement Performance Equations
Author: Joe P. Mahoney
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 58
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 58
Book Description
Pavement Performance Equations. Final Report
Author: Joe P. Mahoney
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
Book Description
Development of a Flexible Pavement Performance Equation
Author: John M. Vyce
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 34
Book Description
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 34
Book Description
Database Design for Developing Pavement Performance Equations
Author: Chhote Saraf
Publisher:
ISBN:
Category : Database design
Languages : en
Pages : 78
Book Description
Publisher:
ISBN:
Category : Database design
Languages : en
Pages : 78
Book Description
Development of Performance Equations and Survivor Curves for Flexible Pavements
Author: Alberto Garcia-Diaz
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 194
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 194
Book Description
Pavement Performance Curves. Final Report
Author: W. L. Gramling
Publisher:
ISBN:
Category :
Languages : en
Pages : 66
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 66
Book Description
Early Analyses of Long-term Pavement Performance General Pavement Studies Data
Author: J. Brent Rauhut
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 114
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.
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 114
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
Author: Michael D. Elwardany
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 26
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.
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 26
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
Author: Matthew W. Witczak
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 202
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 202
Book Description
Development of Predictive Equations Based on Pavement Condition Index Data
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 263
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.
Publisher:
ISBN:
Category :
Languages : en
Pages : 263
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.