Dynamic modulus master curve construction using the modified MEPDG model

• Published in: Proceedings - 1st International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2013
• Main Author: Rais N.M.; Ab. Wahab M.Y.; Endut I.R.; Ab. Latif A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84917738810&doi=10.1109%2fAIMS.2013.40&partnerID=40&md5=091a02c949ed5a7f5a18dd581e46b6df

Dynamic modulus, E∗ is one of the fundamental properties defining the response of hot mix asphalt (HMA) mixtures in flexible pavement systems. Correspondingly, HMA materials are characterized by E∗ master curve incorporating time and temperature effects. One of the widely used models, modified by Bonaquist (2009) is the MEPDG master curve model. The aim of this study is to obtain dynamic modulus data using the modified MEPDG master curve model. The sample has been tested at unconfined pressure where the unconfined master curve typically used in mechanistic-empirical (M-E) pavement analysis methods. From the Goodness-of-fit statistics, most of the sample gave an excellent correlation when R2 ≥ 0.90. It also has been supported by the standard error ratio when the Se/Sy ≤ 0.35. Nonetheless, the correlation coefficient, R2 is not always a reliable coefficient to measure the Goodness-of-fit for nonlinear regression analysis. Furthermore, there may be overall and/or local biases in the predictions that can cause significant reductions in accuracy under certain conditions. © 2013 IEEE.