Modeling and optimization of asphalt content, waste palm oil clinker powder and waste rice straw ash for sustainable asphalt paving employing response surface methodology: A pilot study

被引:20
|
作者
Yaro, Nura Shehu Aliyu [1 ,2 ]
Sutanto, Muslich Hartadi [1 ,3 ]
Habib, Noor Zainab [4 ]
Napiah, Madzlan [1 ]
Usman, Aliyu [1 ,2 ]
Jagaba, Ahmad Hussaini [1 ]
Al-Sabaeei, Abdulnaser M. [1 ]
机构
[1] Univ Teknol PETRONAS, Dept Civil & Environm Engn, Bandar Seri Iskandar 32610, Perak, Malaysia
[2] Ahmadu Bello Univ, Dept Civil Engn, Zaria 810107, Kaduna, Nigeria
[3] Univ Teknol PETRONAS, Inst Selfsustainable Bldg, Bandar Seri Iskandar 32610, Perak, Malaysia
[4] Heriot Watt Univ Dubai, Sch Energy Geosci Infrastruct & Soc, Dubai Knowledge Pk, Dubai 38103, U Arab Emirates
来源
CLEANER MATERIALS | 2023年 / 8卷
关键词
Asphalt concrete mixtures; Sustainability; Waste rice straw ash; Waste palm oil clinker powder; Response surface methodology; Optimization; HUSK ASH; CONCRETE; FILLER; BINDER; REUSE;
D O I
10.1016/j.clema.2023.100187
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Waste management is becoming increasingly important around the world, and incorporating agro-waste into the pavement industry represents a promising strategy for achieving sustainability while improving mixture properties. In this study, we optimize and determine the optimum asphalt binder content of asphalt concrete mixtures modified with waste palm oil clinker powder (WPOCP) and waste rice straw ash (WRSA) to improve their engineering properties. To optimize the interactions between three independent variables (asphalt binder, WPOCP, and WRSA content) on mixture bulk unit weight (BUW), void in the total mix (VTM), Marshall stability, and flow values, the Marshall mix design approach and response surface methodology (RSM) with a Box-Behnken design were used. WPOCP samples containing 2%, 4%, 6%, and 8% by weight of asphalt mixtures were prepared, as were WRSA samples containing 25%, 50%, 75%, and 100% by weight of filler, with asphalt binder content ranging from 4 to 6% by weight of the mix. The statistical model results show that all responses were significant, with high coefficients of correlation (R2) of 0.9840, 0.9971, 0.9920, and 0.9891 for the BUW, VTM, Marshall stability, and flow, respectively. Individual effects of the input variables and synergistic interactions between the three variables were observed to influence all of the responses. Numerical optimization produced optimum WPOCP, WRSA, and asphalt content values of 8%, 74%, and 5%, respectively. The mean error for all responses was less than 5%, indicating that predicted values agree well with experimental data and that generated models accurately reflect experimental results. Based on the findings of the study, it can be concluded that RSM is an effective method for determining the optimal asphalt binder and modifier content in asphalt mixtures. It enables the identification of the most important variables influencing the response of the asphalt mixture and enables mixture optimization for improved performance. Furthermore, incorporating WPOCP and WRSA into asphalt mixtures was found to improve both volumetric and Marshall properties, resulting in a more sustainable approach in the pavement industry.
引用
收藏
页数:23
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