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首页> 外文期刊>Journal of materials in civil engineering >Pore Structure Models to Predict Hydraulic Conductivity of Recycled Asphalt Pavements
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Pore Structure Models to Predict Hydraulic Conductivity of Recycled Asphalt Pavements

机译：孔隙结构模型预测再生沥青路面水力电导率

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摘要

Recycled asphalt pavement (RAP) is increasingly being used due to the economic savings and environmental benefits. RAP contains removed or reprocessed asphalt binder and aggregates instead of virgin material. In order to minimize the damage due to water migration in RAP, pavement design requires accurate quantification of its hydraulic properties. This paper first presents theoretical formulations that enable finding the most accurate and applicable models for RAP. Hydraulic conductivity of RAP is predicted using models containing asphalt content and associated parameters. Results of several widely used empirical and semiempirical models were also compared to identify the one that is most reliable for RAP. A systematic evaluation is presented based on root-mean-square error (RMSE) analyses of predicted and experimentally measured hydraulic conductivity values. The influence of bitumen content and grain-size distribution factors on hydraulic conductivity of RAP were evaluated by the addition of new variable combinations to account for these effects on the best widely used model. Logarithmic linear regression was used to develop new relationships between hydraulic conductivity and different variable combinations to determine the influential variables. It was determined that factors related to grain-size distribution play a prominent role in hydraulic conductivity of RAP. It was observed that the RMSE values of models that contain asphalt content were comparable to those of the Kozeny-Carman model, but lower than those of the Hazen, Slichter, Terzaghi, Beyer, Kruger and Fair-Hatch models. The latter do not contain asphalt content, showing that models that contain it gave better predictions.
机译：由于经济储蓄和环境效益，越来越多地使用再生沥青路面（RAP）。 RAP含有除去或再加工的沥青粘合剂和聚集物而不是原始材料。为了最小化由于RAP中的水迁移导致的损坏，路面设计需要精确定量其液压性能。本文首先介绍了理论上的配方，使能为RAP找到最准确和适用的模型。使用含有沥青含量和相关参数的模型来预测RAP的水力传导率。还比较了几种广泛使用的经验和半级模型的结果，以确定RAP最可靠的模型。基于预测和实验测量的液压电导率值的根均方误差（RMSE）分析来提出系统评估。通过添加新的可变组合来评估沥青含量和晶粒大小分布因子对RAP水力导电性的影响，以解释这些对最佳广泛使用的模型的影响。对数线性回归用于开发液压导电性和不同变量组合之间的新关系，以确定有影响的变量。确定与晶粒大小分布有关的因素在RAP的液压导电中起着突出的作用。观察到含有沥青含量的模型的RMSE值与Kozeny-Carman模型的模型相当，但低于Hazen，Slichter，Terzaghi，Beyer，Kruger和Fair-Hatch模型的模型。后者不含沥青含量，显示包含它的模型更好地预测。

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