Sensitivity Analyses for Flexible Pavement Design with the Mechanisticâ€"Empirical Pavement Design Guide

2011 ◽  
Author(s):  
◽  
◽  
2012 ◽  
Vol 39 (7) ◽  
pp. 812-823
Author(s):  
Leonnie Kavanagh ◽  
Ahmed Shalaby

A damage analysis was conducted on a spring weight restricted flexible pavement to quantify the effects of reduced tire pressure on pavement life and to compare the damage predictions from the Asphalt Institute (AI) and the Mechanistic Empirical Pavement Design Guide (MEPDG) models. The models were used to predict the number of repetitions to fatigue and rutting failure at three maximum loads and at high and low tire pressures. Based on the results, the AI and MEPDG predictions were statistically different for both fatigue cracking and rutting damage, based on the t-test at 95% confidence limits. The AI model predicted 31% lower fatigue damage than the MEPDG, but 56% higher rutting damage. However, both models produced similar trends in predicting the relative effects of reduced tire pressure and load levels on pavement life. The methodology and results of the analysis are presented in this paper.


2021 ◽  
Author(s):  
Omar M. Sharif

The Mechanistic-Empirical Pavement Design Guide (MEPDG), developed by the American Association of State Highway and Transportation Officials (AASHTO) under the directive of the U.S. National Cooperative Highway Research Program (NCHRP) Project 1-37A, is the latest development in the concept and theories for the analysis and design of new pavements and of overlays for the existing pavements. While MEPDG is waiting for its full-scale implementation and to replace the traditional pavement design methods, it is desirable to make use of the performance prediction capacity of the MEPDG for accurate life-cycle costing analysis. The objective of this study is to review the state of the art and state of the practices for LCC and the new MEPDG methodology for flexible pavement design/preservation, and explore a framework for the integration of LCC into the new MEPDG, which would help the pavement agencies to evaluate the most economic (cost-effective) flexible pavement design for a new roadway section and overlay design for an existing flexible pavement as well as the preservation (maintenance and rehabilitation) time/strategy based on MEPDG methodology.


Author(s):  
Rahma Ibrahim Ibrahim ◽  
Mostafa Hossam ElDin Ali ◽  
Omar Sameh El Marakby ◽  
Noura Mohamed Soussa ◽  
Yomna Mohamed Abdel Aziz ◽  
...  

The Mechanistic-Empirical principles were used to develop a software, known as AASHTOWare Pavement ME Design. It is a design and analysis software, designed according to the latest AASHTO standards, the Mechanistic Empirical Pavement Design Guide MEPDG approach, which identifies the causes of stresses in pavement structures and forecasts the pavement’s performance throughout its lifespan. Due to its sophisticated complex design, the AASHTOware is of constrained availability in the market. However, due to its significance and its ability to revolutionize the industry, this paper discusses a proposed flexible pavement design tables based on the MEPDG that is founded on Egyptian traffic loadings and material characteristics. This study is divided into two phases; the first is concerned with evaluating the performance of an actual Egyptian roadway pavement design while the second aims to develop a new design tool integrating traffic, climate, and material. The research results showed the poor expected performance of the studied roadway pavement in terms of rutting and fatigue cracking. This research also provided a basic flexible pavement design tables using the MEPDG approach and based on the Egyptian materials, climatic and loading conditions.


2021 ◽  
Author(s):  
Omar M. Sharif

The Mechanistic-Empirical Pavement Design Guide (MEPDG), developed by the American Association of State Highway and Transportation Officials (AASHTO) under the directive of the U.S. National Cooperative Highway Research Program (NCHRP) Project 1-37A, is the latest development in the concept and theories for the analysis and design of new pavements and of overlays for the existing pavements. While MEPDG is waiting for its full-scale implementation and to replace the traditional pavement design methods, it is desirable to make use of the performance prediction capacity of the MEPDG for accurate life-cycle costing analysis. The objective of this study is to review the state of the art and state of the practices for LCC and the new MEPDG methodology for flexible pavement design/preservation, and explore a framework for the integration of LCC into the new MEPDG, which would help the pavement agencies to evaluate the most economic (cost-effective) flexible pavement design for a new roadway section and overlay design for an existing flexible pavement as well as the preservation (maintenance and rehabilitation) time/strategy based on MEPDG methodology.


Author(s):  
Tommy Nantung ◽  
Ghassan Chehab ◽  
Scott Newbolds ◽  
Khaled Galal ◽  
Shuo Li ◽  
...  

The release of the Mechanistic–Empirical Design Guide for New and Rehabilitated Pavement Structures (M-E design guide) generated a new paradigm for designing and analyzing pavement structures. It is expected to replace the commonly used empirical design methodologies. The M-E design guide uses a comprehensive suite of input parameters deemed necessary to design pavements with high reliability and to predict pavement performance and distresses realistically. However, the considerable amount of input needed and the selection of the corresponding reliability level for each might present state highway agencies with complexities and challenges in its implementation. An overview is presented of ongoing investigative studies, sensitivity analyses, and preimplementation initiatives conducted by the Indiana Department of Transportation (INDOT) in an effort to accelerate the adoption of the new pavement design guide by efficiently using existing design parameters and determining those parameters that influence the predicted performance the most. Once the sensitive inputs are identified, the large amount of other required design input parameters can be significantly reduced to a manageable level for implementation purposes. A matrix of trial runs conducted with the M-E design guide software suggests that a higher design level input does not necessarily guarantee a higher accuracy in predicting pavement performance. The software runs also confirmed the need to use input values obtained from local rather than national calibration. Such findings are important for state highway agencies such as INDOT in drafting initiatives for implementing the M-E design guide.


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