Journal Published Online: 23 July 2019
Volume 47, Issue 5

Fracture Properties of Multirecycled Asphalt Mixes from Four-Point Bending Test Using Digital Image Correlation and Back Calculation

CODEN: JTEVAB

Abstract

Six different asphalt mixes were subjected to the four-point bending fracture tests designed at the University of Lyon/École Nationale des Travaux Publics de l’État (ENTPE). Among the six tested mixes, three were hot mixes and three were produced according to a warm process with foamed binder. For each of the two processes, the first mix contained 0 % reclaimed asphalt pavement (RAP). The second mix contained 40 % RAP from a milling process. The third mixes contained 40 % of the second mix, aged artificially in the lab and recycled. Two methods were applied to determine the crack propagation during fracture testing. The first one, called the displacement ratio method for predicting crack length, is based on displacements measurements. The second one used digital image correlation and strain field analysis. The two methods gave similar results for crack length values during the tests. The stress intensity factor (KIC) as a function of crack length was calculated. Results showed rather close fracture properties for the six mix types.

Author Information

Pedraza, A.
Laboratory of Tribology and System Dynamics (LTDS, UMR CNRS 5513), University of Lyon/Ecole Nationale des Travaux Publics de l’Etat (ENTPE), 3 rue Maurice Audin, France
Di Benedetto, H.
Laboratory of Tribology and System Dynamics (LTDS, UMR CNRS 5513), University of Lyon/Ecole Nationale des Travaux Publics de l’Etat (ENTPE), 3 rue Maurice Audin, France
Sauzéat, C.
Laboratory of Tribology and System Dynamics (LTDS, UMR CNRS 5513), University of Lyon/Ecole Nationale des Travaux Publics de l’Etat (ENTPE), 3 rue Maurice Audin, France
Pouget, S.
Research & Innovation Department, Eiffage Infrastructures, France
Pages: 14
Price: $25.00
Related
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Details
Stock #: JTE20180524
ISSN: 0090-3973
DOI: 10.1520/JTE20180524