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In Nova Scotia, wheel path rutting (plastic deformation) is becoming one of the most significant manifestations of pavement distress on arterial 100 series highways. To address plastic deformation, the Nova Scotia Department of Transportation and Communications (NSDOTC) introduced, in 1989, a high friction asphalt concrete mix commonly referred to as Special B. In this study, an empirical model is developed to evaluate rutting in Special B using Bayesian regression software and methods. The Bayesian methodology allows for the inclusion of subjective data, referred to as prior data, from experienced engineers, as well as field data in its modelling approach. The model resulting from the data is referred to as the posterior. For this study a team consisting of members of NSDOTC and the Technical University of Nova Scotia and consultants from private industry was formed to transfer the technology of the Bayesian C-SHRP project. The field data were gathered from a data base of C-SHRP test sections in Nova Scotia. Five expert pavement engineers were solicited to provide the subjective data. Linear and linear-log functional forms were investigated for this project.
Ramia et al. (Sat,) studied this question.