Optimizing the performance of TPCB/SCA composite-modified asphalt using improved response surface methodology
Author:
Li Chuangmin12, Yi Shuaibing1, Deng Qinhao1, Gan Youwei12, Hu Zhangyong3
Affiliation:
1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology , Changsha 410114 , China 2. The Key Laboratory of Road Structure & Material Ministry of Transport , Changsha 410114 , China 3. Jiujiang City Planning and Design Group Co., Ltd. , Jiujiang 332000 , China
Abstract
Abstract
A composite-modified asphalt was developed by incorporating tire pyrolytic carbon black (TPCB) with a silane coupling agent (SCA) to enhance its ductility and storage stability. The functional binding between asphalt and TPCB was improved by the addition of SCA. The gray correlation comprehensive evaluation method is incorporated into the response surface methodology (RSM), leading to an improved RSM. The improved RSM was employed to optimize the content of the modifier and the preparation process to enhance overall performance. A central composite design-based experiment was conducted to optimize the penetration, softening point, 10°C ductility, Brookfield rotational viscosity, and storage stability indicators of modified asphalt. The response surface of the gray comprehensive evaluation value of the evaluation indicators was calculated using the gray correlation analysis method, and a second-order regression model was established between independent variables such as TPCB, SCA content, and shear time factor and the gray comprehensive evaluation value. This model analyzed the impact of a single variable and variable interaction on the performance of the TPCB/SCA composite-modified asphalt. The optimized model results showed that the preparation parameters that optimize the expected comprehensive performance of the composite-modified asphalt are 9.2% TPCB content, 2.1% SCA content, and a shear time of 56.3 min. Finally, the TPCB/SCA composite-modified asphalt prepared with the improved RSM exhibited the highest gray comprehensive evaluation value and the best overall performance, indicating the feasibility of the optimized preparation parameters with the improved RSM.
Publisher
Walter de Gruyter GmbH
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