CAIT project no.: CAIT-UTC-049
Fiscal Year: 2013/2014
Status: Final
Rutgers-CAIT Author(s): Imad Abdallah, Patrick Szary, Ph.D.
External Author(s): Brett Haggerty
Sponsor(s): FHWA - RITA, Texas Department of Transportation
In any pavement construction process there are dozens of parameters that will ultimately impact the performance of the roadway, and with new materials and processes developed every year, trying to predict the performance of a pavement becomes increasingly more difficult. One of the pavement layers that is important to pavement performance is the hot mix asphalt (HMA). Mix types, such as permeable friction course (PFC), stone mastic asphalt (SMA), performance design mixes and conventional dense graded mixes are currently used to construct or overlay roads. Currently, the estimated performance life of different HMA mixes (including the frequency of overlay) by the designers is highly subjective. Unfortunately, many parameters that can be used to access the service life of pavement layers are stored autonomously, and historically has been impossible to link together. As a result, many state highway agencies have only been capable of performing a qualitative analysis on a handful of factors to predict how a pavement will perform.