DocumentCode
693788
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
fYear
2013
fDate
3-5 Dec. 2013
Firstpage
212
Lastpage
216
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-1-4799-3250-4
Type
conf
DOI
10.1109/AIMS.2013.40
Filename
6959918
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