
doi: 10.3141/1998-01
The dynamic modulus, |E * |, of asphalt mixture has recently drawn much attention in the asphalt community. The |E * | test has been suggested by NCHRP Projects 9-19 and 9-29 as the simple performance test (SPT) to verify the performance characteristics of Superpave® mixture design. In addition, it has been recommended as the potential quality control-quality assurance parameter in the field. The dynamic modulus, |E * |, is an input to the Mechanistic-Empirical Pavement Design Guide (M-E PDG) and also supports the predictive performance models developed as part of NCHRP Project 1-37A. The importance of this parameter on one hand and its time-consuming determination on the other hand necessitated reliable prediction of dynamic moduli of asphalt mixtures at different temperatures and loading frequencies. In this respect, a number of predictive equations have been developed. The most widely used model is the NCHRP 1-37A, which is currently used for calculation of |E * | in Levels 2 and 3 of M-E PDG. The model has a reasonably good prediction capability of high modulus values; however, it tends to over-predict the moduli at the lower spectrum. This study shows that a recent modification to the NCHRP 1-37A model has improved the overall prediction of |E * | but has not significantly improved the overprediction of the lower moduli. While the replacement of the binder viscosity, η, with the binder shear modulus, |G * |, has increased the accuracy of the model, the inclusion of the binder phase angle, δ, in the revised equation was not found to have a significant effect.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
