Abstract
Abstract Shape, angularity, and surface texture are essential aggregate characteristics that have a significant impact on the long-term performance of pavement materials. Current specifications include test methods that are manual, time-consuming, and subjective. Engineers have been trying to develop digital image analysis techniques to make aggregate characterization faster and more indicative of field performance. However, these methodologies are costly, and the results cannot be compared due to differing definitions of shape, angularity, and texture. This paper presents a methodology to measure three-dimensional aggregate morphological indices using a smartphone camera, free computer programs, and spherical harmonic modeling. Results indicated that spherical harmonics and a smartphone camera alone could determine aggregate shape and flakiness indices based on a single spherical harmonic coefficient. Being able to separate aggregates based on their morphology (e.g., flaky aggregates from non-flaky aggregates) could aid in creating new standards for aggregates used in transportation materials.
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