Development of framework of the predictive performance-engineered mix design procedure for asphalt mixtures. Issue 12 (15th October 2022)

• Record Type: Journal Article
• Authors: Wang, Yizhuang David; Ghanbari, Amir; Underwood, Benjamin Shane; Kim, Youngsoo Richard
• Is Part Of: International journal of pavement engineering. Volume 23:Issue 12(2022)
• Page Start: 4190
• Page End: 4205
• Publication Date: 2022-10-15
• Subjects: Asphalt pavement -- mix design -- performance-engineered mix design -- balanced mix design -- viscoelastic -- fatigue -- rutting -- simplified viscoelastic continuum damage (S-VECD) -- shift rutting model -- FlexPAVETM; Pavements -- Design and construction -- Periodicals; Highway engineering -- Periodicals; 625.805
• DOI: 10.1080/10298436.2021.1938044
• Languages: English
• ISSNs: 1029-8436

Abstract

ABSTRACT: This paper presents a new asphalt mixture design framework for predictive performance-engineered mix design (PEMD) and the theory and procedures that underlie the proposed design method. This method allows pavement engineers to determine an optimized mix design based on the predicted pavement/mixture performance for all possible combinations of a given set of component materials (i.e. aggregate and binder) in the design space. The proposed PEMD process is based on the 'performance-volumetrics relationship' (PVR) concept. The calibration of the PVR is based on the mixture performance predicted from FlexPAVE TM, a three-dimensional finite element program that performs viscoelastic analysis under moving loads, using the material properties of the asphalt mixture in question at widely spaced volumetric conditions. Three mixtures of different nominal maximum aggregate sizes and binder types are used to demonstrate the proposed PEMD process. Finally, the predicted performance results obtained from different design approaches are compared.