Mechanistic–empirical damage analysis and impacts of reduced tire pressure on thaw weakened flexible pavements using the AI and MEPDG models

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.

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):  
Wais Mehdawi

The Mechanistic-Empirical Design provides more insight into pavement behaviour and performance than the 1993 AASHTO empirical method. The new Mechanistic-Empirical Pavement Design Guide (MEPDG) developed under the National Corporation Highway Research Program (NCHRP) 1-37A. A hierarchical approach is employed upon traffic, climate and materials input to produce pavement performance predictions of smoothness and numver of distress types. One of the most significant changes offered in the Mechanistic Empirical Design Guide (ME PDG) is the difference in the method used to account for highway traffic loading. Traffic volume and traffic loads, the two most important aspects required to characterize traffic for pavement design are treated separately and independently and its use-oriented computational software implements an integrated analysis approach for predicting pavement condiditon over time that accounts for the interaction of traffic, climate and pavement structures. The recently developed guide for mechanistic-empirical (M-E) design of new and rehabilitated pavement structures will change the way in which pavements are designed by replacing the traditional emprirical design approach in the AASHTO 1983 Guide. The M-E Pavement Design Guide will allow pavement designers to make better-informaed decisisions and take cost-effect advantage of new materials and features. However, the proposed design guide is substantially more complex than the 1983 AASHTO design guide. It requires more imput values from the designer. There is limited availability of the data for many MEPDG inputs. This project report presents the Mechanistic-Empirical approach of Pavement Design for New and Rehabilitated Flexible Pavements using the new ME PDG. The main objectives of the report are: (1)to demonstrated how the Mechanistic-Empirical design of pavement is more precise than the existing empirical method, (2)to explain the software input and output parameters, (3)to present a complete overview of the M-E design process and to gain a thorough understanding of the materials, traffic, climate and pavement design inputs required for M-E design.


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.


2021 ◽  
Author(s):  
Gyan Prasad Gautam

The rutting models in the AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) have been calibrated to Ontario’s conditions for flexible pavements of Marshall mixes, and have yet to be calibrated for the Superpave materials. This study differs from previous studies in several counts: First, the local calibration database included both Superpave and Marshall mixes. Second, two of the five local calibration parameters (the temperature and traffic exponents) were pre-fixed based on a secondary study of the NCHRP 719 report. Third, both cross-sectional and longitudinal calibrations were performed and compared. It was concluded that the Superpave and Marshall mix pavements should be separately treated in the local calibration and that the cross-sectional and longitudinal calibrations behaved drastically differently in terms of residual errors. A set of local calibration parameters were recommended for future pavement design. It was recommended that trench investigations be done to further validate the results from the study.


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