Development of MEPDG Input Database for Asphalt Mixtures
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2019-04-01
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Edition:Final; July 2016 – April 2019
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Abstract:Fatigue cracking is one of the most critical distresses involved in flexible pavement failure. For state departments of transportation, the accurate prediction of flexible pavement service life in terms of potential fatigue cracking is crucial for pavement design, maintenance, and rehabilitation. Therefore, it is imperative to understand the asphalt mixture characteristics that contribute to fatigue cracking. The Georgia Department of Transportation (GDOT) is interested in learning more about the material characteristics of Georgia-sourced asphalt material and how different mixtures can affect the predicted fatigue life. This interest includes investigating different asphalt mixtures to see how the growth of damage and fatigue cracking performance change over time. This research study investigates predictions of the fatigue cracking performance of Georgia asphalt mixtures using three fatigue test methods: (1) overlay test, (2) Illinois flexibility index test (I-FIT), and (3) cyclic direct tension based on the simplified viscoelastic continuum damage (S-VECD) model. The results from these fatigue test methods were further used to examine the material characteristics that make up the asphalt material influence on the performance of the pavement. This report summarizes the effects of asphalt material characteristics such as asphalt binder type, nominal maximum aggregate size (NMAS), reclaimed asphalt pavement (RAP) percentage, and asphalt binder content on asphalt fatigue cracking resisting performance. Further, this report provides a database of dynamic modulus (|E*|) for 19 different asphalt mixtures from across the state of Georgia that can be used in the Mechanistic–Empirical Pavement Design Guide (MEPDG) for pavement design and performance analysis. Long-term aging and dynamic shear rheometer (DSR) test results of two binders (PG 64-22 and PG 76-22) from the state of Georgia are also present in this report for MEPDG Level 2 inputs.
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