Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6714303 | Construction and Building Materials | 2018 | 10 Pages |
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 (|Eâ|) and resilient modulus (MR) - two performance tests used to characterize the stiffness of asphaltic concrete mixtures, and proposes a statistical model for |Eâ| 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 |Eâ| with MR shows that at a temperature of 25â¯Â°C, |Eâ| at 5â¯Hz is strongly correlated with MR at a loading frequency of 300â¯ms. The developed statistical model captured 97% of the variability in the data in predicting |Eâ| 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
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Authors
Yasir Ali, Muhammad Irfan, Muhammad Zeeshan, Imran Hafeez, Shafeeq Ahmed,