Molding Process Design for Asphalt Mixture Based on Response Surface Methodology
Publication: Journal of Materials in Civil Engineering
Volume 28, Issue 11
Abstract
The values of key parameters, asphalt aggregate ratio, mixing/compacting temperature, striking/compacting times, and fiber content are usually determined according to bulk properties or empirical values when molding asphalt mixture, which is inefficient and subjective. In this study, a modified response surface methodology (RSM) method was introduced to comprehensively optimize design of asphalt mixture molding process with the optimal value of pavement performance as a response variable. The single-factor tests were first conducted to find the specific ranges of key factors in the response surface models. Then the response surface models between effect factors and three different pavement performance parameters were established based on the Box-Behnken design (BBD) theory. Lastly, the analytic hierarchy process (AHP) was applied to determine weights distribution of the effect factors, and the optimal values of effect factors and pavement performances were obtained. Results indicate that fitting errors of this modified RSM method is lower than 1.2%, and that the average prediction error is 0.87%. This modified model was proven to possess favorable fitting accuracy, predictive capability, and stability. Meanwhile, the method can ensure volumetric parameters are in compliance with regulatory requirements under the premise of improving the overall asphalt pavement performance.
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Acknowledgments
The authors express their appreciation for financial supports of National Natural Science Foundation of China (Nos. 51408258, 51578236, and 51278222); China Postdoctoral Science Foundation funded project (Nos. 2014M560237 and 2015T80305); Fundamental Research Funds for the Central Universities (JCKYQKJC06), and Science-Technology Development Program of Jilin Province (Nos. 20140203002SF and 20160520068JH).
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Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 28 • Issue 11 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Feb 27, 2015
Accepted: Mar 3, 2016
Published online: May 26, 2016
Discussion open until: Oct 26, 2016
Published in print: Nov 1, 2016
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