Effect of compaction conditions on aggregate packing using 2-dimensional image analysis and the relation to performance of HMA

Abstract

Characterization of the asphalt mixture microstructure using two dimensional (i.e., 2-D) imaging techniques could be an economically efficient approach. However, the features that have been captured and quantified using 2-D imaging techniques in most published research are limited to simplistic analyses of aggregate structure. This paper focuses on introducing a more elaborate method for characterization of the internal structure of aggregates to define performance related parameters that could be used as quality indicators of mixes. These indicators are proposed as important properties that complement the volumetric properties so wide relied on for acceptance of mixture designs. The results of the study show that aggregate structure can be characterized using a combination of newly developed image analysis indices namely: number of aggregate-to-aggregate proximity zones, total proximity zone length, and proximity zone plane orientation. A software developed in a previous study and significantly modified for this study, is used to process digital images of a set of asphalt mixtures with different gradations, binder contents, types of modification, compaction efforts, compaction temperatures, and methods. The results demonstrate that the internal structure indices correlate well with rutting performance, as well as with low temperature thermal contraction of asphalt mixtures. Additionally, the indices can be successfully used to show the effects of compaction effort, compaction method and temperature, gradation of aggregates, and binder modification on the mixture internal structure. The results indicate potential for using this method for quality control of mixtures during production.