Application of Response Surface Methodology for mix design optimization of nanocomposite modified asphalt mixtures

Recently the application of polymer nanocomposite has been increasingly recognized as an alternative to polymer modified binders for durable asphalt mixtures. In this study, the optimization of nanosilica and binder content for nanocomposite modified asphalt mixtures has been examined to obtain opti...

Full description

Saved in:
Bibliographic Details
Main Authors: Bala, N., Napiah, M., Kamaruddin, I.
Format: Article
Published: GEOMATE International Society 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029907086&doi=10.21660%2f2017.39.98554&partnerID=40&md5=35703c65bef3dcb8d465d667ea35da2d
http://eprints.utp.edu.my/19690/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recently the application of polymer nanocomposite has been increasingly recognized as an alternative to polymer modified binders for durable asphalt mixtures. In this study, the optimization of nanosilica and binder content for nanocomposite modified asphalt mixtures has been examined to obtain optimum quantities for higher volumetric properties. Response Surface Methodology (RSM) based on face centered central composite design (FCCCD) was utilized. Interaction effects of independent variables nanosilica and binder content on nanocomposite volumetric properties namely stability, flow, void in total mix (VTM) and voids in mineral aggregate (VMA) were evaluated. The result indicates that the individual effects of nanosilica and binder content are both important; however, the asphalt binder content had more significance on the volumetric properties. Higher Stability was achieved with the mixtures prepared with 2 nanosilica and binder content range of 5-6. Also, the mean error obtained in all the responses from optimization results are all less than 5, this indicates that predicted values are in agreement with experimental results. Furthermore, it was concluded that asphalt mixture design with high performance properties, optimization using RSM is a very effective approach. © Int. J. of GEOMATE.