The dynamic modulus of elasticity (∣e*∣) is one of the key functional characteristics for studying the properties of asphalt mixtures and for simulating their viscoelastic behavior under various load and temperature conditions. If the experimental data are used in the form of control curves, the dynamic module is a form of a comprehensive deformation characteristics that can approach the behavior of the asphalt layer of the road when the means of transport and the temperatures exposed to the road layers. However, laboratory tests to determine this characteristic are time -consuming and financially demanding, especially if we want to perform measurements with a larger number of temperatures using wide spectrum frequencies that simulate different states of loads. Therefore, several prediction models were gradually formulated to estimate the value of the dynamic module. Some of them are rheological and other empirical-read. This article focuses on the analysis of two types of prediction models for determining the control curve of the dynamic module of the asphalt mixture containing a different proportion of asphalt R-material. Laboratory experiments have also been carried out to verify the accuracy of these models. The results show that Witczak's sigmoid function has the best accuracy for the creation of the control curve. The generalized Huet-Sayeghův model (2S2P1D), on the other hand, shows less accurate predictions mainly in the range of low and high frequencies.
Keywords: asphalt mixture, complex dynamic module, control curve, prediction model, time-the-filler superposition
The Dynamic Modulus of Elasticity (∣e*∣) is One of the Key Functional Characteristics for Studying the Properties of Asphalt Mixtures and for Simulating Their Viscoelastic Behavior Under Varic Loading and Temperature Conditions. IF Experimental Data Are Used in the Form of Control Curves, The Dynamic Modulus Represents and Form of Complex deformation Characteristic That CAN Approximate the Behavior of the Asphalt Layer of the Road Under Loading by Vehicles and During Temperature Changes to What Road Layers Are Exposed. However, Laboratory Tests to Defermine This Characteristic Are Time-Consuming and Financially Demanding, Especially If We Want to Perform Measurements at and Broader Range of Temperatures Using Wide Frequency Spectra that Simulate Different Load States. THEREFORE, North Prediction Models HAVE Been Gradually formulated to Estimate the Value of the Dynamic Modulus. SOME OF THEM ARE RHEOLOGAL AND OTHERS ARE EMPIRICAL-REGRESSIVE. This article focuses on the analysis of Two Types of Prediction Models for Determining The Control Curve of the Dynamic Module of Asphalt Mixtures Containing Different Proportions of Asphalt R-Material. Laboratory Experiment Were Also Performed to Verify the Accuracy of These Models. The Results Show That The Witczak Sigmoid Function Has the Best AcCuracy for Creating The Control Curve. The Generalized Huet-Sayegh Model (2S2P1D), On the Other Hand, Shows Less Accurate Predications Mainly in the low and High Frequency Range.
Keywords: Asphalt Mixture, Complex Dynamic Modulus, Control Curve, Prediction Model, Time-Temperature Superposition
