Preparation for Implementation of the Mechanistic-Empirical Pavement Design Guide in Michigan: Part 1 – HMA Mixture Characterization.
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Preparation for Implementation of the Mechanistic-Empirical Pavement Design Guide in Michigan: Part 1 – HMA Mixture Characterization.

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English

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    NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance;NTL-HIGHWAY/ROAD TRANSPORTATION-Design;
  • Abstract:
    This is the final report of the Part 1 (HMA Mixture Characterization) of the “Preparation for Implementation of the Mechanistic-Empirical Pavement Design Guide in Michigan” project. The main objectives of the Part 1 were (i) to conduct a literature search to determine the existing and past research on HMA mixture characterization for M-E PDG, (ii) review MDOT's HMA testing program, and (iii) laboratory testing of samples collected. Scope of the literature review included the past and on-going research on HMA characterization as a preparation for the M-E PDG (or DARWin-ME) as well as predictive models for some of the key inputs such as the Complex (Dynamic) Modulus (|E*|) mastercurve. Several regression-based |E*| models were evaluated and calibrated for local asphalt mixtures in Michigan. In addition, an Artificial Neural Network (ANN) model has been developed for better prediction of |E*| from asphalt volumetrics. The research team reviewed the current HMA test data available as part of the MDOT testing program and compared it with the test data required by the M-E PDG. In addition, an extensive laboratory testing program was conducted to characterize asphalt mixtures commonly used in Michigan for the Complex (Dynamic) Modulus |E*|, Complex Shear Modulus (|G*|) of binders and Indirect Tension Strength (IDT) at low temperatures. A standalone software, called DYNAMOD, was developed to serve as a database for all the material testing performed in this project. The DYNAMOD will allow engineers to easily reach the material testing data and generate input files that can directly be imported by the M-E PDG (or DARWin-ME).
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