Abstract
AbstractA database of dynamic modulus values for typical Superpave mixes widely used in the state of Washington was developed and used to investigate the sensitivity of the dynamic modulus to aggregate gradation. Seven job-mix formulas (JMFs) were selected for study. The percent of these mixes passing a No. 200 sieve was changed by ±2% to prepare additional mixes referred to as modified mixes. Statistical analysis showed that using different JMF mixes significantly affected the dynamic modulus. This was not the case when the JMF was modified by changing the percent passing a No. 200 sieve. A simple evaluation of the prediction accuracy of the new Mechanistic-Empirical Pavement Design Guide (MEPDG) was conducted in which the measured dynamic modulus was used as a key input parameter to predict pavement distresses. Level 1 and Level 3 predictions of rutting, longitudinal cracking, alligator cracking, and International Roughness Index (IRI) were compared with field performance data. The MEPDG predicted IRI a...
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