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Asphalt modification using polymeric additives derived from solid wastes, i.e. polyolefins, is reported. Chlorination of polyethylene can be controlled to produce semicrystalline polymeric additives. Differential scanning calorimetry can be used to determine the asphalt crystallinity and the distribution components among phases in asphalt/polymer blends. To enhance the resolution of a given thermogram, a several-step annealing process is required to experimentally realize a near-equilibrium state. Introducing chlorine atoms on polyethylene chains can improve the compatibility of the asphaltlpolymer blends by adjusting the interaction between the components of asphalt and polymer. Maleation of polyolefins at very low levels (one to two percent) is an effective means for enhancing the polarity of the additive without influencing the degree of crystallization.
Polymer modified asphalts have recently been the focus of much attention in the U.S. due to claims that polymer additives will lengthen the life of an asphalt pavement. Much of the published research on this topic has been concentrated on the effects of polymer modifiers on binder and mixture properties. The goal of this testing is to predict from laboratory testing the actual field performance of an asphalt concrete. Over the years, specifications have been developed for conventional asphalts that allow pavement performance to be predicted from certain binder tests. These conventional binder tests do not fully address the special characteristics of polymer modified asphalt binders and need revision to be an effective tool in predicting pavement service life. This paper presents the findings of a two-part laboratory research program intended to relate binder and mixture properties of polymer modified asphalts. The preliminary testing involved five asphalt binder types and a variety of binder and mixture tests. Promising test procedures were further investigated in the final testing program where ten asphalt binders were examined. Simple linear regression was used to determine the strength of a relationship between pairs of binder properties and mixture properties. The preliminary testing showed penetration, toughness and tenacity, and force ductility to have the most promise in predicting mixture performance. The final testing contained enough data to be analyzed with both simple linear regression and multiple regression. Penetration, toughness and tenacity, force ductility again were the test procedures that had binder properties that correlated well with mixture properties.
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