Nominal property based predictive models for asphalt mixture complex modulus (dynamic modulus and phase angle)

Citation:

Nemati R, Dave EV. Nominal property based predictive models for asphalt mixture complex modulus (dynamic modulus and phase angle). Construction and Building Materials [Internet]. 2018;158 :308 - 319.

Abstract:

Dynamic modulus (|E|) and phase angle (δ) are necessary for determining the response of asphalt mixtures to in-service traffic and thermal loadings. While a number of |E| and δ predictive models have been developed, many of them require lab measured properties (e.g. binder complex modulus). The majority of previous work has focused only on prediction of |E|, limited models exist for prediction of δ. This research utilized generalized regression modelling of lab measurements (from 81 asphalt mixtures) to develop and verify prediction models for |E| and δ using only nominal asphalt mix properties that are readily available during the initial mixture design and specification process.
© 2017 Elsevier Ltd

Notes:

Dynamic moduli;Generalized regression;Measured properties;Phase angles;Prediction model;Predictive models;Specification process;Thermal loadings;

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