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首页> 外文期刊>Open Journal of Civil Engineering >Development of a Dynamic Modulus Prediction Model for Hot Mixture Asphalt and Study of the Impact of Aggregate Type and Its Electrochemical Properties
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Development of a Dynamic Modulus Prediction Model for Hot Mixture Asphalt and Study of the Impact of Aggregate Type and Its Electrochemical Properties

机译:热混合沥青动态模量预测模型的研制与骨料型抗冲击性及其电化学性能研究

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摘要

The most famous model known in prediction of dynamic modulus for asphalt concretes is the Witczak and Hirsh models. These models didn’t use the mineralogical and chemical properties of aggregates. Witczak models used the passing or refusal percentage to sieve diameters and Hirsh model use d the volumetric analysis. All models developed until now considered that the aggregates were geotechnical conforming to standards. In this study the first mineralogical and chemical properties were considered through the percentage of silica in the rock source of aggregates and the electric aggregate particles charge zeta. Dynamic modulus values used for regression process are determined from complex modulus test on nine asphalt concretes mix designed with aggregate types (basalt of Diack, quartzite of Bakel and Limestone of Bandia). Between Twelve initial inputs , the statistical regression by exclusion process keeps only seven parameters as input for the model. The mineralogical model showed good accuracy with R ~( 2 ) equal to 0.09. The student test on the model parameters showed that all the parameters included in the model were meaningful with good p inferior to 0.05. The Fisher test on the model showed the same result. The analysis of the sensitivity of the mineralogical model to zet a potential showed that the dynamic modulus increase s with the positive zeta-potentials and decrease s with the negative zeta-potentials. The analysis of the sensitivity of the mineralogical model to the silica showed that the dynamic modulus decreases with the increase of the silica.
机译:在沥青混凝土的动态模量预测中已知的最着名的模型是Witczak和Hirsh模型。这些模型没有使用聚集体的矿物学和化学性质。 Witczak模型使用传递或拒绝百分比来筛分直径和HIRSH模型使用D体积分析。所有型号到现在都认为聚集体是衔接符合标准的岩土工程。在该研究中,通过岩石聚集体的二氧化硅的百分比和电聚集颗粒电荷Zeta来考虑第一种矿物学和化学性质。用于回归过程的动态模量值是根据九个沥青混凝土混合物的复杂模量试验确定,所述含有聚集类型(玄武岩玄武岩,Bakel和Bandia的石灰石)。在12个初始输入之间,排除过程的统计回归仅为模型的输入保持七个参数。矿物学模型显示出良好的准确性,R〜(2)等于0.09。在模型参数上的学生测试显示,模型中包含的所有参数都是有意义的,良好的P不如0.05。该模型的Fisher测试显示了相同的结果。分析矿物学模型对Zet的敏感性的潜力显示,动态模量随着阳性Zeta电位的增加和具有负Zeta电位的降低。分析矿物学模型对二氧化硅的敏感性表明,随着二氧化硅的增加,动态模量降低。

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