Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology

In recent times, the use of polymer nanocomposite for construction of durable asphalt mixtures has been gradually replacing the application of polymer-modified binders. In this investigation, the optimisation of nanosilica and binder content for nanocomposite-modified asphalt mixtures has been exami...

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Main Authors: Bala, N., Napiah, M., Kamaruddin, I.
Format: Article
Published: Taylor and Francis Ltd. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042133617&doi=10.1080%2f10298436.2018.1435881&partnerID=40&md5=150afa5fe9aa857994d4ae8505215cfa
http://eprints.utp.edu.my/23074/
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spelling my.utp.eprints.230742021-08-19T05:27:37Z Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology Bala, N. Napiah, M. Kamaruddin, I. In recent times, the use of polymer nanocomposite for construction of durable asphalt mixtures has been gradually replacing the application of polymer-modified binders. In this investigation, the optimisation of nanosilica and binder content for nanocomposite-modified asphalt mixtures has been examined to obtain optimum quantities for high-performance properties. Response Surface Methodology (RSM) was applied for the optimisation based on central composite design (CCD). Interaction effects of two independent variable factors, nanosilica and binder content, on nanocomposite strength, volumetric and performance properties were analysed using CCD design. The responses were analysed using RSM, and models were developed to fit the experimental results for prediction of the responses. The results indicate that the individual effects of nanosilica and binder content are both important for performance improvement. Based on the numerical optimisation, 1.5 nanosilica and 5 binder content were found to be the optimal values. Also, the mean error obtained from optimisation results are all less than 5 for all responses, indicating that predicted values agree with experimental results and the developed models fit to the experimental results. Furthermore, the study concluded that for composite asphalt mixture design with high-performance properties, optimisation using RSM is a very good approach. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Taylor and Francis Ltd. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042133617&doi=10.1080%2f10298436.2018.1435881&partnerID=40&md5=150afa5fe9aa857994d4ae8505215cfa Bala, N. and Napiah, M. and Kamaruddin, I. (2020) Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology. International Journal of Pavement Engineering, 21 (1). pp. 29-40. http://eprints.utp.edu.my/23074/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In recent times, the use of polymer nanocomposite for construction of durable asphalt mixtures has been gradually replacing the application of polymer-modified binders. In this investigation, the optimisation of nanosilica and binder content for nanocomposite-modified asphalt mixtures has been examined to obtain optimum quantities for high-performance properties. Response Surface Methodology (RSM) was applied for the optimisation based on central composite design (CCD). Interaction effects of two independent variable factors, nanosilica and binder content, on nanocomposite strength, volumetric and performance properties were analysed using CCD design. The responses were analysed using RSM, and models were developed to fit the experimental results for prediction of the responses. The results indicate that the individual effects of nanosilica and binder content are both important for performance improvement. Based on the numerical optimisation, 1.5 nanosilica and 5 binder content were found to be the optimal values. Also, the mean error obtained from optimisation results are all less than 5 for all responses, indicating that predicted values agree with experimental results and the developed models fit to the experimental results. Furthermore, the study concluded that for composite asphalt mixture design with high-performance properties, optimisation using RSM is a very good approach. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
format Article
author Bala, N.
Napiah, M.
Kamaruddin, I.
spellingShingle Bala, N.
Napiah, M.
Kamaruddin, I.
Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
author_facet Bala, N.
Napiah, M.
Kamaruddin, I.
author_sort Bala, N.
title Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
title_short Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
title_full Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
title_fullStr Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
title_full_unstemmed Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
title_sort nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology
publisher Taylor and Francis Ltd.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042133617&doi=10.1080%2f10298436.2018.1435881&partnerID=40&md5=150afa5fe9aa857994d4ae8505215cfa
http://eprints.utp.edu.my/23074/
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score 13.18916