A predictive approach of dynamic modulus for characterising Florida hot mix asphalt mixtures. (1st January 2015)

• Record Type: Journal Article
• Authors: Yang, Enhui; Ping, W. Virgil; Qiu, Yanjun; Sheng, Biqing
• Is Part Of: International journal of forensic engineering. Volume 2:Number 3(2015)
• Page Start: 209
• Page End: 230
• Publication Date: 2015-01-01
• Subjects: forensic engineering -- flexible pavement design -- hot mix -- asphalt mixtures -- asphalt concrete mixtures -- dynamic modulus -- Superpave mix design -- MEPDG -- predictive modelling -- roads -- mechanistic–empirical design; Forensic engineering -- Periodicals; 624.176
• DOI: 10.1504/IJFE.2015.067691
• Languages: English
• ISSNs: 1744-9944

Abstract

The dynamic modulus is one of the fundamental properties defining the response of asphalt mixtures in a flexible pavement system. It is an essential input of the Mechanistic–Empirical Pavement Design Guide (MEPDG) software for asphalt pavement design. Many studies have been done about the predictive model of dynamic modulus. This paper presents a comprehensive study about developing a predictive approach of dynamic modulus for characterising the asphalt concrete mixtures used in Florida. A laboratory experimental programme was developed to evaluate 20 selected Superpave asphalt concrete mixtures with a range of aggregates and mix designs. Based on the test results and previous models, a predictive E* approach was constructed to characterise the dynamic modulus of the Florida asphalt concrete mixtures. This study could provide a rational approach for State DOT's to have local implementations of the MEPDG with inputs and calibrations that are specific to their region.