scholarly journals Implementation and Proof-checking of Mechanistic-empirical Pavement Design for Indian Highways Using AASHTOWARE Pavement ME Design Software

2013 ◽  
Vol 104 ◽  
pp. 119-128 ◽  
Author(s):  
Arpan Ghosh ◽  
A. Padmarekha ◽  
J. Murali Krishnan
2014 ◽  
Vol 1023 ◽  
pp. 28-31
Author(s):  
Li Min Li

With the constant increasing of traffic flow and axle load, the early failure of semi-rigid base asphalt pavement is increasingly serious in China. The bad durability and short service life of pavement have become main obstacles in road construction development. Based on the experience of successful application, the early failure of semi-rigid base asphalt pavement is solved, and the service life of pavement is increased by using of the composite asphalt pavement. To solve the design problem of the composite asphalt pavement , its mechanical properties influence results of are obtained by the factors, such as shear strain, shear stress, compression strain on top of subgrade, etc, by a lot of calculation using Shell pavement design software. These provide theoretical basis for durable asphalt pavement design based on rut-resistance property.


2019 ◽  
Vol 216 ◽  
pp. 552-563 ◽  
Author(s):  
Daniel Perraton ◽  
Hervé Di Benedetto ◽  
Alan Carter ◽  
Marc Proteau

2016 ◽  
Vol 2590 (1) ◽  
pp. 122-131 ◽  
Author(s):  
Leslie Titus-Glover ◽  
Biplab B. Bhattacharya ◽  
Deepak Raghunathan ◽  
Jagannath Mallela ◽  
Robert L. Lytton

Author(s):  
Augusto Cannone Falchetto ◽  
Ki Hoon Moon ◽  
Di Wang ◽  
Hae-Won Park

In this paper, five rheological models, including a newly developed formulation based on the combination of the Christensen-Anderson-Marasteanu (CAM) model and the sigmoidal function, are used to evaluate the dynamic modulus of three different asphalt mixtures types. The effectiveness of the models in representing the experimental results is graphically and statistically compared. Clear differences in dynamic modulus computation are observed when using sigmoidal function-based models and CAM formulations. The newly introduced CAM model modified by the sigmodal function appears to provide reasonable fitting compared to the previously developed models and may represent an alternative formulation to be evaluated in the current pavement design software.


Author(s):  
Jhony Habbouche ◽  
Elie Y. Hajj ◽  
Peter E. Sebaaly ◽  
Nathan E. Morian

The overall objective of this study was to assess the use of Level 1 analysis for mechanistic-empirical (ME) rehabilitation designs of deteriorated polymer-modified asphalt concrete (AC) pavements in Nevada using the AASHTOWare® Pavement ME software. This research also explored the possible implementation of a hybrid approach for AC damage characterization to overcome the challenges associated with the use of the Witczak model for estimating the undamaged dynamic modulus master curve of the existing AC layer. Two rehabilitation field projects were used as part of this study. The experimental plan involved falling weight deflectometer (FWD) testing in the right wheelpath before rehabilitation, analysis of core samples, estimation of an equivalent undamaged dynamic modulus, and estimation of equivalent damaged dynamic modulus from FWD backcalculation. The proposed hybrid approach consisted of conducting laboratory dynamic modulus testing on the collected core samples and estimating an equivalent undamaged dynamic modulus at the same FWD testing temperature and loading frequency. The pre-overlay damage, characterized based on the approach in Pavement ME Design software (i.e., using a Witczak prediction model and backcalculated modulus), showed overly high values that did not match with the collected pre-overlay distress data on either of the rehabilitation projects. Based on the findings from this study, the hybrid approach was recommended for implementation by Nevada Department of Transportation (NDOT) when designing AC overlay over polymer-modified asphalt pavements in Nevada. Recommendations for user inputs were also provided for future consideration in Pavement ME Design software.


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