期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 96, 期 -, 页码 550-555出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2015.08.043
关键词
Pavement performance; PET modified asphalt mixtures; Environmental conditions; Experimental ANFIS; Estimation
资金
- HIR-MOHE University of Malaya [UM.C/HIR/MOHE/ENG/34]
- University of Malaya [RP010A-13SUS]
In this paper, the accuracy of soft computing techniques was employed for prediction of the rutting performance of Polyethylene Terephthalate (PET) modified asphalt mixture. The process, which simulates the mixture's deformation, was constructed with adaptive neuro-fuzzy inference system (ANFIS). The inputs were PET percentages, stress levels and temperatures. The performance of proposed system was confirmed by simulation results. The ANFIS results and the results achieved by experiments were compared using root-mean-square error (RMSE) and coefficient of determination. The experimental outcomes suggested that ANFIS approach can be used to improve predictive accuracy and capability of generalization. (C) 2015 Elsevier Ltd. All rights reserved.
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