Automated Aggregate Shape Analysis and Rutting/Stripping Performance

摘要

Fine aggregate shape has been identified as a factor in determining asphaltpavement rutting susceptibility. In an effort improve test methods for measuring aggregate shape characteristics, a video-based, computer-controlled imaging system was developed. Individual aggregate particles were characterized by shape attributes. A neural network classifier used these attributes to calculate a single number classification index that relates to expected performance. Expert judges were used to train the neural net classifier by scoring a set of particle outlines. Discrepancies in the expert's scores indicate that considerable differences still exist in the concept of 'angularity'.