Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
HMA Dynamic Modulus Predictive Models: A Review
The most important hot-mix asphalt (HMA) property influencing the structural response of a flexible pavement is the HMA modulus (E(sub HMA)). Dynamic modulus concepts are reviewed. The construction of master curves for HMA mixtures is presented. The procedures are based on the fitting of a sigmoidal function. Two (vertical line)E(asterisk)(vertical line) predictive equations are presented. The Witczak, as proposed in the new AASHTO 2002 Design Guide, and the Hirsch model. In general, both appear to be in good agreement and have similar accuracy. The Witczak predictive equation requires eight input parameters. This information is normally available from material specifications or volumetric design of the mixture. The master curve for (vertical line)E(asterisk)(vertical line) can be developed directly by using the binder A and VTS parameters in the viscosity components of the equation. The Hirsch model needs only three input parameters, which are available from the routine Superpave mix design process. To build the (vertical line)E(asterisk)(vertical line) master curve, a master curve for (vertical line)G(asterisk)(vertical line)(sub binder) has to be developed to take into account the effect of temperature and frequency. This can be done with data obtained from Dynamic Shear Rheometer tests. Several studies are presented where the dynamic modulus predictive models are evaluated. The studies used different binders and represent typical mixtures used by different agencies. The results clearly confirm the good agreement and similar accuracy between the Witczak equation and the Hirsch model and between these models and dynamic modulus obtained from laboratory tests. In general, it is concluded that both predictive models generate sufficiently accurate and reasonable dynamic modulus estimates adequate for use in mechanistic-empirical design, at least for broad range of binders and mixtures studied.
HMA Dynamic Modulus Predictive Models: A Review
The most important hot-mix asphalt (HMA) property influencing the structural response of a flexible pavement is the HMA modulus (E(sub HMA)). Dynamic modulus concepts are reviewed. The construction of master curves for HMA mixtures is presented. The procedures are based on the fitting of a sigmoidal function. Two (vertical line)E(asterisk)(vertical line) predictive equations are presented. The Witczak, as proposed in the new AASHTO 2002 Design Guide, and the Hirsch model. In general, both appear to be in good agreement and have similar accuracy. The Witczak predictive equation requires eight input parameters. This information is normally available from material specifications or volumetric design of the mixture. The master curve for (vertical line)E(asterisk)(vertical line) can be developed directly by using the binder A and VTS parameters in the viscosity components of the equation. The Hirsch model needs only three input parameters, which are available from the routine Superpave mix design process. To build the (vertical line)E(asterisk)(vertical line) master curve, a master curve for (vertical line)G(asterisk)(vertical line)(sub binder) has to be developed to take into account the effect of temperature and frequency. This can be done with data obtained from Dynamic Shear Rheometer tests. Several studies are presented where the dynamic modulus predictive models are evaluated. The studies used different binders and represent typical mixtures used by different agencies. The results clearly confirm the good agreement and similar accuracy between the Witczak equation and the Hirsch model and between these models and dynamic modulus obtained from laboratory tests. In general, it is concluded that both predictive models generate sufficiently accurate and reasonable dynamic modulus estimates adequate for use in mechanistic-empirical design, at least for broad range of binders and mixtures studied.
HMA Dynamic Modulus Predictive Models: A Review
G. Garcia (Autor:in) / M. Thompson (Autor:in)
2007
108 pages
Report
Keine Angabe
Englisch
| British Library Online Contents | 2018
Calibration of dynamic modulus predictive model
| British Library Online Contents | 2016
Calibration of dynamic modulus predictive model
| Online Contents | 2016
Calibration of dynamic modulus predictive model
| Online Contents | 2016
| British Library Online Contents | 2018