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

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.

2021 ◽  
Author(s):  
Maryam Amir

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.


2021 ◽  
Author(s):  
Afzal Waseem

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.


2021 ◽  
Author(s):  
Gulfam E. Jannat

The AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) includes empirical distress models that need both global and local calibrations. The local calibration requires developing a database that would reflect local environments, design and maintenance practices in a particular jurisdictional region. The objective of the thesis is to develop a pavement database for local calibration before the MEPDG is to be implemented in Ontario. The database involves a hierarchical framework of the input parameters required for DARWin-ME, and the measured performance data are based on the MTO’s PMS-2. To demonstrate the validity of the developed database a preliminary local calibration including clustering analysis is carried out for the IRI and total rutting. The calibration-validation analysis suggests that the IRI model can be best clustered based on the geographical zone whereas the highway functional class is the best clustering parameter for rutting during the local calibration.


2021 ◽  
Author(s):  
Gulfam E. Jannat

The AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) includes empirical distress models that need both global and local calibrations. The local calibration requires developing a database that would reflect local environments, design and maintenance practices in a particular jurisdictional region. The objective of the thesis is to develop a pavement database for local calibration before the MEPDG is to be implemented in Ontario. The database involves a hierarchical framework of the input parameters required for DARWin-ME, and the measured performance data are based on the MTO’s PMS-2. To demonstrate the validity of the developed database a preliminary local calibration including clustering analysis is carried out for the IRI and total rutting. The calibration-validation analysis suggests that the IRI model can be best clustered based on the geographical zone whereas the highway functional class is the best clustering parameter for rutting during the local calibration.


2021 ◽  
Author(s):  
Afzal Waseem

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.


2021 ◽  
Author(s):  
Chowdhury Jannatul Sifat E Ahmed

The AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) introduces a pavement design method which uses both the mechanistic analyses and empirical models to predict pavement distresses and performance, which needs to be calibrated to local conditions and engineering practices based on local pavement performance data. This thesis focuses on the local calibration of fatigue (both bottom-up and top-down) and thermal cracking models in MEPDG for superpave flexible pavements on Ontario’s highways. Simulations were run in the software, after developing a calibration database of Ontario’s provincial highway and the predicted data is compared to the observed data. Significant difference is found in the comparisons which need to be minimized by calibrating the distress models. A new regression model is used to optimize the calibration parameters by minimizing the standard deviations of the residuals between the predicted and observed distresses. The challenges encountered and concluding remarks developed during the local calibration process are discussed. Keywords: Local Calibration, Mechanistic Empirical Pavement Design Guide (MEPDG), Cracking Models, Fatigue Cracking, Thermal Cracking, superpave


2021 ◽  
Author(s):  
Chowdhury Jannatul Sifat E Ahmed

The AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) introduces a pavement design method which uses both the mechanistic analyses and empirical models to predict pavement distresses and performance, which needs to be calibrated to local conditions and engineering practices based on local pavement performance data. This thesis focuses on the local calibration of fatigue (both bottom-up and top-down) and thermal cracking models in MEPDG for superpave flexible pavements on Ontario’s highways. Simulations were run in the software, after developing a calibration database of Ontario’s provincial highway and the predicted data is compared to the observed data. Significant difference is found in the comparisons which need to be minimized by calibrating the distress models. A new regression model is used to optimize the calibration parameters by minimizing the standard deviations of the residuals between the predicted and observed distresses. The challenges encountered and concluding remarks developed during the local calibration process are discussed. Keywords: Local Calibration, Mechanistic Empirical Pavement Design Guide (MEPDG), Cracking Models, Fatigue Cracking, Thermal Cracking, superpave


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

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