The main objective of this study was to predict the tensile relaxation modulus of asphalt mixes, without having to perform the common relaxation modulus tests, by developing a predictive model based on the mix characteristics, ageing condition, temperature and loading time. To this end, cylindrical asphalt mixture specimens containing crushed stone aggregates with 60/70 penetration asphalt binder were fabricated using two aggregate gradations, two binder contents, two air void levels and three ageing conditions with four replicates. Uniaxial tensile relaxation modulus tests were conducted on the specimens at four temperatures using the trapezoidal loading pattern at a low level of strain. Tensile relaxation modulus master curves of all the experimental combinations were constructed by the sigmoidal model. Statistical analysis of variance and regression analysis was performed on the test data and a predictive model was developed. Finally, the predictive model was verified using a group of measured values other than those used for the development of the model, and it was found that the predicted values correlated well with the measured ones.
Predicting the tensile relaxation modulus of asphalt mixes based on the mix design and environmental factors
2017
Article (Journal)
English
Aggregates , Mathematical models , Statistical analysis , predictive model , Variance analysis , Level (quantity) , master curve , Correlation analysis , ageing condition , Crushed stone , mix characteristics , Low level , Asphalts , tensile relaxation modulus , Analysis of variance , Stone , Asphalt , temperature , Strain , Regression analysis , loading time , Asphalt mixture , Design factors , Mixes
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