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Optimization of Recycling Technology Based on Grey Correlation Analysis

机译:基于灰关联分析的回收技术优化

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摘要

Eight experiment plans varied with 3 recycling technologies at two test level were designed and Marshall indexes (bulk density γf, air void VV, void of mineral aggregate VMA, Marshall stability MS) and performance indexes(residual stability RS, freeze-thaw stability ratio TSR, lowtemperature bending strain LBS, dynamic stability DS) of 8 recycled asphalt mixtures produced by 8 different kinds of recycling technology were tested. Moreover, Grey system theory was used to calculate the grey correlation grade so as to comparatively evaluate the pros and cons of different recycling technologies and recommend the best. The results showed that the recycling technology has significant influences on the Marshall index and road performances. The recycling technology of higher preheating temperature of RAP, rejuvenating agent added to RAP and increasing mixing time will enhance overall performances of recycled mixture;Grey correlation analysis is a kind of simple and effective material assessment method which can overcome the disadvantage of the single target design being not able to pay attention to other performances.
机译:设计了八项试验计划,在三种测试水平下采用了三种回收技术,并制定了Marshall指标(散装密度γf,空气空隙VV,矿物骨料的空隙VMA,Marshall稳定性MS)和性能指标(残余稳定性RS,冻融稳定性比率TSR)测试了由8种不同回收技术生产的8种回收沥青混合物的低温弯曲应变LBS,动态稳定性DS)。此外,使用灰色系统理论来计算灰色关联度,以便比较评估不同回收技术的优缺点并推荐最佳方法。结果表明,回收技术对马歇尔指数和道路性能有重大影响。 RAP的预热温度较高,RAP中加入再生剂和增加混合时间的回收技术将提高回收混合物的整体性能;灰色关联分析是一种简单有效的材料评估方法,可以克服单一目标设计的缺点不能注意其他表演。

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