Files in this item



application/pdfTES-110.pdf (2MB)
(no description provided)PDF


Title:Effect of Short Term Oven Aging on Volumetrics and Selection of N-Design
Author(s):McMullen, Bradley J.; Vavrik, William R.; Carpenter, Samuel H.
Subject(s):N-Design, Aging, Asphalt Mixtures, Superpave Gyratory Compactor, Air Voids, Polymers
Abstract:This report presents findings on the effect of conditioning time on the volumetric properties of Superpave Gyratory Compactor (SGC) prepared asphalt mixtures. Field mixtures were sampled from the producing plants and then recreated in the laboratory following 3 different short-term conditioning procedures to measure the effect on the N-design value of the mixture. The projects selected represent three different N-design levels, have different nominal maximum aggregate size, aggregate sources, and asphalt binder types. Bulk Specific Gravity (Gmb) samples were aged at compaction temperature for 1-hr, 2-hr, and 4-hr. Maximum Specific Gravity (Gmm) samples were also aged at compaction temperature for 0-hr, 2-hr, and 4-hr. The short-term aging times are based off of Illinois Department of Transportation aging procedures, current National Center for Asphalt Technology recommendations, and the original Superpave conditioning specifications. It was observed in this study that increased conditioning time has a greater impact on the volumetric properties of the polymer-modified binder mixes than on neat binder mixes. Also, noticed is that the presence of polymers in the binder appears to have greater effect than the higher temperature used for conditioning polymer-modified HMA.
Issue Date:2000-09
Genre:Technical Report
Publication Status:published or submitted for publication
Peer Reviewed:not peer reviewed
Sponsor:Illinois Department of Transportation
Rights Information:No restrictions. This document is available to the public through the National Technical Information Service, Springfield, Virginia 22161
Date Available in IDEALS:2013-11-22

This item appears in the following Collection(s)

Item Statistics