Use of Superpave Gyratory Compaction Data for Rutting Prediction

摘要: This paper presents the estimation results of an improved nonlinear rutting progression model for asphalt concrete mixes. Rutting is modeled as a function traffic, temperature, and mix characteristics, including voids filled with asphalt, content, in-place air voids, surface area, densification slope. Mixed effects, advanced statistical technique that allows consideration several sources randomness autocorrelated disturbances, used parameters. The measurements from WesTrack indicate statistically significant. Further, correctly anticipates dramatic failure replacement sections (approximately 10–20 mm in few days). Mixture resistance linked to aggregate densification, measured by slope Superpave gyratory compactor. may provide basis identification probable performance field with...