Development of a Dynamic Modulus Prediction Model for Hot Mixture Asphalt and Study of the Impact of Aggregate Type and Its Electrochemical Properties  

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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作  者:Mouhamed Lamine Chérif Aidara Makhaly Ba Alan Carter Mouhamed Lamine Chérif Aidara;Makhaly Ba;Alan Carter(UFR Sciences de l’Ingénieur, Université de Thiès, Thiès, Sénégal;Ecole de Technologie Supérieure (ETS), Director of Pavement Bituminous Materials Laboratory (LCMB), Montréal, Canada)

机构地区:[1]UFR Sciences de l’Ingénieur, Université de Thiès, Thiès, Sénégal [2]Ecole de Technologie Supérieure (ETS), Director of Pavement Bituminous Materials Laboratory (LCMB), Montréal, Canada

出  处:《Open Journal of Civil Engineering》2020年第3期213-225,共13页土木工程期刊(英文)

摘  要:The most famous model known in prediction of dynamic modulus for asphalt concretes<span style="font-family:Verdana;"> is</span><span style="font-family:Verdana;"> 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</span><span style="font-family:Verdana;">d</span><span style="font-family:""><span style="font-family:Verdana;"> 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).</span><span style="font-family:Verdana;"> Between Twelve initial inputs</span></span><span style="font-family:Verdana;">,</span><span style="font-family:""><span style="font-family:Verdana;"> the statistical regression by exclusion process keeps only seven parameters as input for the model. The mineralogical model showed good accuracy with R</span><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> 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</span></span><span style="font-family:Verdana;">a potential showed that the dynamic modulus increase</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> <span style="font-family:Verdana;">with the positive zeta-potentials and decrease</span></span><span style="font-family:VerdanaThe most famous model known in prediction of dynamic modulus for asphalt concretes<span style="font-family:Verdana;"> is</span><span style="font-family:Verdana;"> 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</span><span style="font-family:Verdana;">d</span><span style="font-family:""><span style="font-family:Verdana;"> 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).</span><span style="font-family:Verdana;"> Between Twelve initial inputs</span></span><span style="font-family:Verdana;">,</span><span style="font-family:""><span style="font-family:Verdana;"> the statistical regression by exclusion process keeps only seven parameters as input for the model. The mineralogical model showed good accuracy with R</span><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> 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</span></span><span style="font-family:Verdana;">a potential showed that the dynamic modulus increase</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> <span style="font-family:Verdana;">with the positive zeta-potentials and decrease</span></span><span style="font-family:Verdana

关 键 词:Dynamic Modulus MINERALOGICAL Basalt of Diack Quartzite of Bakel Limestone of Bandia Zeta Potential Silica 

分 类 号:O17[理学—数学]

 

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