Title :
Dynamic Modulus Master Curve Construction Using the Modified MEPDG Model
Author :
Rais, Nuryantizpura Mohamad ; Wahab, Md Yunus Ab ; Endut, Intan Rohani ; Latif, Amminudin Ab
Author_Institution :
Malaysia Inst. of Transp. (MITRANS), Univ. Teknol. Mara (UiTM), Shah Alam, Malaysia
Abstract :
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.
Keywords :
asphalt; regression analysis; roads; stress-strain relations; structural engineering; HMA mixtures; correlation coefficient; dynamic modulus master curve construction; goodness-of-fit statistics; hot mix asphalt mixtures; mechanistic empirical pavement design guide; modified MEPDG model; nonlinear regression analysis; Artificial intelligence; Dynamic modulus; Goodness-of-fit; MEPDG Model; master-curve; mechanistic-empirical;
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4799-3250-4
DOI :
10.1109/AIMS.2013.40