Article ID Journal Published Year Pages File Type
6714303 Construction and Building Materials 2018 10 Pages PDF
Abstract
Mechanistic-Empirical Pavement Design is considered relatively more effective than conventional empirical design for excessive tyre pressure exerted by axle load spectra and diverse environmental conditions. Many highway agencies are adopting a paradigm shift to Mechanistic-Empirical pavement design practices, obsoleting huge inventories of resilient modulus database used for empirical design. This paper attempts to develop an empirical correlation of dynamic modulus (|E∗|) and resilient modulus (MR) - two performance tests used to characterize the stiffness of asphaltic concrete mixtures, and proposes a statistical model for |E∗| as a function of MR, gradation parameter, and mix volumetric parameter. For the comparison purpose, a rigorous testing using bi-level testing protocol is offered for all the relationships (i.e., correlation and model). The comparison of |E∗| with MR shows that at a temperature of 25 °C, |E∗| at 5 Hz is strongly correlated with MR at a loading frequency of 300 ms. The developed statistical model captured 97% of the variability in the data in predicting |E∗| from MR with an error of 6% and 23% for first and second level of bi-level testing protocol, respectively. It is envisaged that the findings of this study can help the highway agencies and practitioners in smooth transitioning to Mechanistic-empirical pavement design practices.
Related Topics
Physical Sciences and Engineering Engineering Civil and Structural Engineering
Authors
, , , , ,