scholarly journals Local calibration of MEPDG rutting model for Ontario’s Superpave pavements

2021 ◽  
Author(s):  
Gyan Prasad Gautam
Keyword(s):  
Flexible Pavements ◽  
Pavement Design ◽  
Local Calibration ◽  
Cross Sectional ◽  
Design Guide ◽  
The Cross ◽  
Secondary Study ◽  
Residual Errors ◽  
Calibration Parameters

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.

scholarly journals Local calibration of MEPDG rutting model for Ontario’s Superpave pavements

2021 ◽  
Author(s):  
Gyan Prasad Gautam
Keyword(s):  
Flexible Pavements ◽  
Pavement Design ◽  
Local Calibration ◽  
Cross Sectional ◽  
Design Guide ◽  
The Cross ◽  
Secondary Study ◽  
Residual Errors ◽  
Calibration Parameters

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.

Approaches for local calibration of mechanistic-empirical pavement design guide joint faulting model: a case study of Ontario

2018 ◽  
Vol 21 (11) ◽  
pp. 1347-1361 ◽  
Author(s):  
Shi Dong ◽  
Jian Zhong ◽  
Susan L. Tighe ◽  
Peiwen Hao ◽  
Daniel Pickel
Keyword(s):  
Pavement Design ◽  
Local Calibration ◽  
Design Guide

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
Keyword(s):  
Fatigue Damage ◽  
Flexible Pavements ◽  
Fatigue Cracking ◽  
Flexible Pavement ◽  
T Test ◽  
Pavement Design ◽  
Damage Analysis ◽  
Confidence Limits ◽  
Tire Pressure ◽  
Design Guide

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.

scholarly journals Methodology development and local calibration of MEPDG permanent deformation models for Ontario's flexible pavements.

2021 ◽  
Author(s):  
Afzal Waseem
Keyword(s):  
Permanent Deformation ◽  
Flexible Pavements ◽  
Field Evaluation ◽  
Pavement Performance ◽  
Layer By Layer ◽  
Local Calibration ◽  
Methodology Development ◽  
Design Guide ◽  
Level 3 ◽  
Deformation Models

The AASHTO-supported interim Mechanistic-Empirical Pavement Design Guide (MEPDG) was published in 2008 for trial use. However, local calibration of the empirical distress models in the design guide has been an essential exercise for any transportation agency before it formally adopts the MEPDG for practical design use. Nevertheless, a universally agreed upon local calibration methodology using historical pavement performance data from field evaluation has not been available. This research focuses on permanent deformation or rutting models in MEPDG and presents a layer-by-layer longitudinal local calibration process at the DARWin-METM platform coupled with Excel Macros. Using the best input data available, many of Level 3 accuracy, the study performs local calibration for 10 reconstructed and 19 rehabilitated flexible pavement sections. Further, this thesis statistically evaluated the level-3 pre-overlay rut value for rehabilitated flexible pavements in Ontario. A comparison of the longitudinal calibration and pooled local calibration demonstrated the importance of the longitudinal calibration in the quantification of uncertainties involved in local calibration.

scholarly journals Mechanistic-empirical approach to evaluate new and rehabilitated flexible pavements

2021 ◽  
Author(s):  
Wais Mehdawi
Keyword(s):  
Flexible Pavements ◽  
Empirical Method ◽  
Pavement Design ◽  
Empirical Approach ◽  
Integrated Analysis ◽  
Highway Traffic ◽  
Design Guide ◽  
The Difference ◽  
Pavement Structures ◽  
Empirical Design

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.

scholarly journals Local calibration of MEPDG for Superpave Pavements in Ontario : Enhance rutting calibration and preliminary study on IRI model

2021 ◽  
Author(s):  
Maryam Amir
Keyword(s):  
Permanent Deformation ◽  
Pavement Design ◽  
Local Calibration ◽  
Iri Model ◽  
International Roughness Index ◽  
Local Conditions ◽  
Calibration Methods ◽  
Roughness Index ◽  
Design Guide ◽  
Deformation Models

The AASHTO Mechanistic-Empirical Pavement Design Guide requires local calibration to account for local conditions, materials, and engineering practices. Previous local calibration studies in Ontario focused mainly on permanent deformation models for pavement rutting. The objectives of this study are twofold. First, to provide an enhanced calibration for the rutting models by using more vigilantly cross-verified input data and updated observed rutting data. Second, to perform a trial calibration for the international roughness index (IRI) model by considering three different calibration methods. Cracking models calibration, being performed by another colleague, has not yet been finalized; therefore, the IRI model calibration cannot be finalized in this study. Based upon 63 Superpave sections, the local calibration coefficients were found to be βAC = 1.7692, βT = 1.0, βN = 0.6262, βGB = 0.0968 and βSG = 0.2787 , which reduced the standard deviation of residuals to a value of 1 mm. The IRI calibration study found that the initial IRI value plays an important role in the calibration. Keywords: International Roughness Index (IRI) model; local calibration; Mechanistic-Empirical Pavement Design Guide (MEPDG); rutting model; Superpave.

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