Use of Gel‐Permeation Chromatography in Predicting Properties of Asphalt

Abstract
This paper examines the relationship between the gel permeation Chromatographic (GPC) profile and the physical properties of an asphalt cement. This problem was approached from a nontraditional perspective in that a regression‐based model for predicting GPC profiles from the physical properties of the asphalt was developed. Such a model provides an alternative way of investigating the relationship between a specific physical property and the GPC profiles of asphalts. The idea is to better understand how we can use GPC to characterize the behavior of asphalts. We used data for asphalts from a wide variety of sources in developing the regression model. The model was validated by using it to accurately predict the GPC profiles of 11 new asphalts [from the Strategic Highway Research Program (SHRP)]. The validation of the model shows that there is a strong relationship between GPC profiles and the physical properties of asphalts. This relationship is complex, however, the model clearly shows that the GPC profile is largely determined by the rheological type of the asphalt.

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