Probabilistic Modeling of the Inherent Variability in the Dynamic Modulus Master Curve of Asphalt Concrete

2016 ◽  
Vol 2576 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Hussein A. Kassem ◽  
Shadi S. Najjar ◽  
Ghassan R. Chehab
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Master Curve ◽  
Probabilistic Modeling

Practical Procedure for Developing Dynamic Modulus Master Curves for Pavement Structural Design

2005 ◽  
Vol 1929 (1) ◽  
pp. 208-217 ◽  
Author(s):  
Ramon Bonaquist ◽  
Donald W. Christensen
Keyword(s):  
Asphalt Concrete ◽  
Structural Design ◽  
Dynamic Modulus ◽  
Master Curve ◽  
Performance Test ◽  
Test System ◽  
Pavement Design ◽  
Master Curves ◽  
Practical Procedure ◽  
Testing Sequence

A dynamic modulus master curve for asphalt concrete is a critical input for flexible pavement design in the mechanistic–empirical pavement design guide developed in NCHRP Project 1–37A. The recommended testing to develop the modulus master curve is presented in AASHTO Provisional Standard TP62–03, Standard Method of Test for Determining Dynamic Modulus of Hot-Mix Asphalt Concrete Mixtures. It includes testing at least two replicate specimens at five temperatures between 14°F and 130°F (–10°C and 54.4°C) and six loading rates between 0.1 and 25 Hz. The master curve and shift factors are then developed from this database of 60 measured moduli using numerical optimization. The testing requires substantial effort, and there is much overlap in the measured data, which is not needed when numerical methods are used to perform the time–temperature shifting for the master curve. This paper presents an alternative to the testing sequence specified in AASHTO TP62–03. It requires testing at only three temperatures between 40°F and 115°F (4.4°C and 46.1°C) and four rates of loading between 0.01 and 10 Hz. An analysis of data collected using the two approaches shows that comparable master curves are obtained. This alternative testing sequence can be used in conjunction with the simple performance test system developed in NCHRP Project 9–29 to develop master curves for structural design.

Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data

2020 ◽  
Vol 257 ◽  
pp. 119549
Author(s):  
Asmah Hamim ◽  
Nur Izzi Md. Yusoff ◽  
Hend Ali Omar ◽  
Nor Azliana Akmal Jamaludin ◽  
Norhidayah Abdul Hassan ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Finite Element ◽  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Master Curve ◽  
Time History ◽  
History Data ◽  
Network Methods ◽  
Artificial Neural

An efficient and robust method for predicting asphalt concrete dynamic modulus

2021 ◽  
pp. 1-12
Author(s):  
Hongren Gong ◽  
Yiren Sun ◽  
Yuanshuai Dong ◽  
Wei Hu ◽  
Bingye Han ◽  
...  
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Robust Method

Precision Analysis of Sigmoidal Master Curve Model for Dynamic Modulus of Asphalt Mixtures

2018 ◽  
Vol 30 (11) ◽  
pp. 04018290 ◽  
Author(s):  
Ningyi Su ◽  
Feipeng Xiao ◽  
Jingang Wang ◽  
Serji Amirkhanian
Keyword(s):  
Dynamic Modulus ◽  
Master Curve ◽  
Asphalt Mixtures ◽  
Precision Analysis ◽  
Curve Model

A Simplified Technique for Measuring Dynamic Modulus of Asphalt Concrete.(Dept.C)

2021 ◽  
Vol 29 (3) ◽  
pp. 1-11
Author(s):  
Mohamed Abdel Motaleb ◽  
Ahmed Mohamady
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus

The Viscoelastic Characteristics of the Asphalt Concrete Modified with Different Synthetic Waxes Using a Modified Huet- Sayegh Model

2017 ◽  
Author(s):  
Grzegorz Mazurek
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Complex Modulus ◽  
Model Parameters ◽  
Fischer Tropsch ◽  
Stiffness Modulus ◽  
Molecular Weights ◽  
Cole Diagram ◽  
Sinusoidal Load ◽  
Viscoelastic Characteristics

The article presents the results of dynamic modulus tests carried on the asphalt concrete (AC16W). The sinusoidal load was applied to the samples in accordance with DTC-CY method. The neat bituminous binder (penetration grade 35/50) was modified by means two synthetic waxes, coming from the Fischer-Tropsch raction, with various molecular weights and softening point temperature results (hard and softer). The relaxation phenomenon in terms of changes in complex modulus and phase angle was evaluated using the modified Huet-Sayegh (2S2P1D). Estimated model parameters pointed out that the addition of the synthetic wax with the high (hard wax) and the low (softer wax) molecular weight raised the stiffness of the bituminous binder in relation to the reference bitumen 35/50. The application of the modified Huet-Sayegh model showed that the presence of the synthetic wax in the bitumen significantly affected the stiffness modulus of considered asphalt concretes. Basing analysis on Cole-Cole diagram it was found significant differences in the viscoelastic behaviour between the reference asphalt concrete and the asphalt concretes with synthetic waxes. In contrast, there were no significant differences between viscoelastic properties of tested asphalt concretes modified, used in the experiment, synthetic waxes. Furthermore, the sensitivity to the loading time of asphalt concretes containing both synthetic waxes was marginal.

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