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Regional Calibration of Asphalt Concrete Layers Permanent Deformation Model for Mechanistic-Empirical Pavement Design Guide
It is important to calibrate a permanent deformation model in the Mechanistic-Empirical Pavement Design Guide (MEPDG) based on local materials, traffic information, and environmental conditions. The objective of this paper is to calibrate a prediction model using measured rutting data collected from flexible pavements located in Jiangsu Province. The number of equivalent standard axle load repetitions, effective mean annual air temperature, and a saturated traffic computation method were introduced to simplify the calculation for an elastic multilayer system. The material properties for each asphalt concrete sublayer were chosen depending on the pavement temperature field prediction. To account for the different mechanistic responses in asphalt concrete layers on a semi-rigid base, the correction factor k1, considering the effects of total asphalt concrete layer thickness and depth to computational points, was revised based on field rutting measurements at various asphalt concrete layer depths in thin and thick pavements, respectively. By comparing the measured rut depths to predicted values from the MEPDG model, the optimum combination of field calibration factors β2 and β3 was determined so that the coefficient of variation was minimal, while optimized β1 was found simultaneously by the least square method.
Regional Calibration of Asphalt Concrete Layers Permanent Deformation Model for Mechanistic-Empirical Pavement Design Guide
It is important to calibrate a permanent deformation model in the Mechanistic-Empirical Pavement Design Guide (MEPDG) based on local materials, traffic information, and environmental conditions. The objective of this paper is to calibrate a prediction model using measured rutting data collected from flexible pavements located in Jiangsu Province. The number of equivalent standard axle load repetitions, effective mean annual air temperature, and a saturated traffic computation method were introduced to simplify the calculation for an elastic multilayer system. The material properties for each asphalt concrete sublayer were chosen depending on the pavement temperature field prediction. To account for the different mechanistic responses in asphalt concrete layers on a semi-rigid base, the correction factor k1, considering the effects of total asphalt concrete layer thickness and depth to computational points, was revised based on field rutting measurements at various asphalt concrete layer depths in thin and thick pavements, respectively. By comparing the measured rut depths to predicted values from the MEPDG model, the optimum combination of field calibration factors β2 and β3 was determined so that the coefficient of variation was minimal, while optimized β1 was found simultaneously by the least square method.
Regional Calibration of Asphalt Concrete Layers Permanent Deformation Model for Mechanistic-Empirical Pavement Design Guide
Li, Qiang (author) / Kuai, Haidong (author)
Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China
ICCTP 2010 ; 3628-3636
2010-07-22
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2010
Mechanistic-Empirical Modeling of Permanent Deformation in Asphalt Concrete Layers
| BASE | 2011
| Taylor & Francis Verlag | 2011
| British Library Online Contents | 2009