Development of Statistical Model for the Prediction of Permanent Deformation in Paving Materials

Abstract

Permanent deformations (rutting) of asphalt pavement which appear in many roads in Iraq have caused a major impact of pavement performance by reducing the useful service life of pavement and creating services hazards for highway users. Therefore, it is important to analyze and investigate this type of distress.The objectives of the present paper include; the analysis of the main contributory factors influencing rutting and development of statistical model for the prediction of permanent deformation this type of distress.To achieved these objective for requirements of data collection, five type of gradation.(40-50) asphalt cement and different types filler are used to prepare three hundred sixty asphalt concrete specimens throughout the work using Marshall method and Superpave system. Most of these specimens are tested by applying diametric creep under different temperatures and stress levels.A statistical model has been developed for prediction of rut depth in local asphalt paving materials as influencing by the factors of asphalt cement, mineral filler type , air voids and environmental temperature.