Optimization of Nanocomposite Modified Asphalt Mixtures Fatigue Life using Response Surface Methodology
In this study, modelling and optimization of materials polyethylene, polypropylene and nanosilica for nanocomposite modified asphalt mixtures has been examined to obtain optimum quantities for higher fatique life. Response Surface Methodology (RSM) was applied for the optimization based on Box Behnk...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institute of Physics Publishing
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046083051&doi=10.1088%2f1755-1315%2f140%2f1%2f012064&partnerID=40&md5=2f52f9b84d4599d4d9032ede079d92f9 http://eprints.utp.edu.my/21618/ |
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| Institution: | Universiti Teknologi Petronas |
| Summary: | In this study, modelling and optimization of materials polyethylene, polypropylene and nanosilica for nanocomposite modified asphalt mixtures has been examined to obtain optimum quantities for higher fatique life. Response Surface Methodology (RSM) was applied for the optimization based on Box Behnken design (BBD). Interaction effects of independent variables polymers and nanosilica on fatique life were evaluated. The result indicates that the individual effects of polymers and nanosilica content are both important. However, the content of nanosilica used has more significant effect on fatique life resistance. Also, the mean error obtained from optimization results is less than 5 for all the responses, 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. © 2018 Published under licence by IOP Publishing Ltd. |
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