Investigating the Marshall and Volumetric Properties of Asphalt Concrete Containing Reclaimed Asphalt Pavement and Waste Oils Using Response Surface Methodology

H. Taherkhani, Farid Noorian
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Abstract

This research aimed to use response surface methodology (RSM) for investigating the Marshall Stability (MS), flow and Voids in Mineral Aggregates (VMA) of asphalt concrete containing different percentages of Reclaimed Asphalt Pavement (RAP) and rejuvenated by different percentages of waste cooking and engine oil. Variables of RAP content in 3 different levels of 25, 50 and 75% (by the weight of total aggregates) and waste oils content in 3 different levels of 5, 10 and 15% (by the weight of total binder) were selected. Quadratic and linear two factor interaction models were well fitted to the experimental results. Analysis of variance showed that the models were capable to well predict the MS, flow and VMA of the mixtures, and the terms of oil and RAP content and type of oil are significant. MS, flow and VMA increased with increasing RAP content and decreased with increasing oil content. Results also reveal that higher MS, flow and VMA values are resulted by using WEO than using WCO. Some interaction effects were found between RAP content, oil content and type of oil on the responses. Optimization analysis showed that using 10.6% of WCO and 15% of WEO, allows a maximum RAP incorporation of 75 and 51.77%, respectively, by which the properties are similar to control mix. Use of the rejuvenators allows using high RAP content without sacrificing the properties of the mixtures.
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用响应面法研究含再生沥青路面和废油的沥青混凝土的马歇尔和体积特性
本研究旨在使用响应面法(RSM)研究含有不同百分比的再生沥青路面(RAP)和不同百分比的废弃烹饪和机油再生的沥青混凝土的马歇尔稳定性(MS)、流动性和矿物骨料空隙率(VMA)。选择了25、50和75%(按总骨料重量计)的3个不同水平的RAP含量和5、10和15%(按总粘合剂重量计)3个不同级别的废油含量的变量。二次型和线性两因素相互作用模型与实验结果非常吻合。方差分析表明,该模型能够很好地预测混合物的MS、流量和VMA,并且油和RAP含量和油的类型的项是显著的。MS、流量和VMA随RAP含量的增加而增加,随含油量的增加而降低。结果还表明,使用WEO比使用WCO产生更高的MS、流量和VMA值。RAP含量、含油量和油的种类对反应有一定的交互作用。优化分析表明,使用10.6%的WCO和15%的WEO,RAP的最大掺入量分别为75%和51.77%,其性能与对照混合物相似。再生剂的使用允许在不牺牲混合物性质的情况下使用高RAP含量。
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来源期刊
CiteScore
1.30
自引率
60.00%
发文量
0
审稿时长
47 weeks
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