MATEC Web Conf.
Volume 162, 2018The 3rd International Conference on Buildings, Construction and Environmental Engineering, BCEE3-2017
|Number of page(s)||7|
|Section||Geotechnical and Transportation Engineering|
|Published online||07 May 2018|
Application of mechanistic empirical approach to predict rutting of superpave mixtures in Iraq
Building and Construction Engineering Department, University of Technology, Baghdad, Iraq
2 University of Baghdad, Baghdad, Iraq
3 University of Al-Mustansiriyah, Baghdad, Iraq
* Corresponding author: Zaynab.email@example.com
In Iraq rutting is considered as a real distress in flexible pavements as a result of high summer temperature, and increased axle loads. This distress majorly affects asphalt pavement performance, lessens the pavement useful service life and makes serious hazards for highway users. Performance of HMA mixtures against rutting using Mechanistic- Empirical approach is predicted by considering Wheel-Tracking test and employing the Superpave mix design requirements. Roller Wheel Compactor has been locally manufactured to prepare slab specimens. In view of study laboratory outcomes that are judged to be simulative of field loading conditions, models are developed for predicting permanent strain of compacted samples of local asphalt concrete mixtures after considering the stress level, properties of local material and environmental impacts variables. All in all, laboratory results were produced utilizing statistical analysis with the aid of SPSS software. Permanent strain models for asphalt concrete mixtures were developed as a function of: number of passes, temperature, asphalt content, viscosity, air voids and additive content. Mechanistic Empirical design approach through the MnPAVE software was applied to characterize rutting in HMA and to predict allowable number of loading repetitions of mixtures as a function of expected traffic loads, material properties, and environmental temperature.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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