A Modified Rheological Model for the Dynamic Modulus of Asphalt Mixtures

2020 ◽  
Author(s):  
Augusto Cannone Falchetto ◽  
Ki Hoon Moon ◽  
Di Wang ◽  
Hae-Won Park
Keyword(s):  
Dynamic Modulus ◽  
Rheological Model ◽  
Asphalt Mixtures ◽  
Pavement Design ◽  
Experimental Results ◽  
Alternative Formulation ◽  
Sigmoidal Function ◽  
Rheological Models ◽  
Design Software ◽  
Cam Model

In this paper, five rheological models, including a newly developed formulation based on the combination of the Christensen-Anderson-Marasteanu (CAM) model and the sigmoidal function, are used to evaluate the dynamic modulus of three different asphalt mixtures types. The effectiveness of the models in representing the experimental results is graphically and statistically compared. Clear differences in dynamic modulus computation are observed when using sigmoidal function-based models and CAM formulations. The newly introduced CAM model modified by the sigmodal function appears to provide reasonable fitting compared to the previously developed models and may represent an alternative formulation to be evaluated in the current pavement design software.

scholarly journals Effect of Different Rheological Models on the Distress Prediction of Composite Pavement

Materials ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 229
Author(s):  
Ki Hoon Moon ◽  
Augusto Cannone Falchetto ◽  
Hae Won Park ◽  
Di Wang
Keyword(s):  
Dynamic Modulus ◽  
Asphalt Mixtures ◽  
Pavement Design ◽  
Reflective Cracking ◽  
Rheological Models ◽  
Pavement Distress ◽  
Upper Limits ◽  
Distress Prediction ◽  
Design Guide ◽  
Cam Model

In this paper, three different rheological models including a newly developed formulation based on the current Christensen Anderson and Marateanu (CAM) model, named sigmoidal CAM model (SCM), are used to estimate the evolution of roughness, rutting, and reflective cracking in a typical composite pavement structure currently widely adopted in South Korea. Three different asphalt mixtures were prepared and dynamic modulus tests were performed. Then, the mechanistic-empirical pavement design guide (MEPDG) was used for predicting the progression of the pavement distress and to estimate the effect of the three different models on such phenomena. It is found that the three different mathematical models provide lower and upper limits for roughness, rutting, and reflective cracking. While the CAM model may not be entirely reliable due to its inability in fitting the data in the high-temperature domain, SCM might result in moderately more conservative pavement design.

Dynamic Modulus Characteristic of Large Stone Permeable Asphalt Mixtures

2013 ◽  
Vol 423-426 ◽  
pp. 1110-1113
Author(s):  
Jin Cheng Wei ◽  
Jin Li
Keyword(s):  
Phase Angle ◽  
Dynamic Modulus ◽  
Asphalt Mixtures ◽  
Sigmoidal Function ◽  
Master Curves ◽  
Low Frequencies ◽  
High Frequencies ◽  
Modified Asphalt ◽  
Large Stone ◽  
Dynamic Modulus Test

To study the dynamic modulus characteristic of LSPM mixes, dynamic modulus test was conducted for Large Stone Permeable Asphalt Mixtures (LSPM ) with neat asphalt and with modified asphalt and the range of dynamic modulus values for LSPM was determined and the dynamic modulus master curves were developed. The magnitude of the dynamic modulus decreased with an increase in temperature and increased with an increase in the frequency. The phase angle decreased as the frequency increased at low temperature. With temperature increase, there was a transition interval, where the phase angle increased up to frequencies of 0.5 Hz, and then it started to decrease as frequency increased. After the transition interval, the phase angle increased with an increase in frequency. Master curves developed by sigmoidal function showed that LSPM with modified asphalt exhibited higher dynamic modulus values at middle and high frequencies and lower dynamic modulus values at low frequencies.

Study on the Viscoelastic Performance of Asphalt Mixture Based on Dynamic Modulus

2013 ◽  
Vol 753-755 ◽  
pp. 728-733 ◽  
Author(s):  
Teng Wang ◽  
Jun Tao Lin ◽  
Ling Pang ◽  
Min Lei ◽  
Kim Jenkins ◽  
...  
Keyword(s):  
Dynamic Modulus ◽  
Equivalence Principle ◽  
Asphalt Mixture ◽  
Asphalt Mixtures ◽  
Master Curves ◽  
Wlf Equation ◽  
Sigmoidal Model ◽  
Cam Model

The fitting models of dynamic modulus of asphalt mixtures were studied in this paper. UTM dynamic modulus tests were adopted to determine the dynamic modulus of two asphalt (A, B) mixtures. Then, the WLF equation and Arrhenius formula, based on the time-temperature equivalence principle, were used to get the shift factors and master curves of asphalt mixtures. Combined with Sigmoidal model and CAM model, it was founded that the Arrhenius formula was more suitable to get the master curves of asphalt mixtures. What is more, the CAM model was more suitable to fit master curves of both asphalt mixtures.

Evaluating Dynamic Modulus for Indiana Mechanistic-Empirical Pavement Design Guide Practice

2019 ◽  
Vol 2673 (2) ◽  
pp. 346-357 ◽  
Author(s):  
Dario Batioja-Alvarez ◽  
Jusang Lee ◽  
Tommy Nantung
Keyword(s):  
Dynamic Modulus ◽  
Functional Performance ◽  
Aggregate Size ◽  
Asphalt Mixtures ◽  
Pavement Design ◽  
Maximum Aggregate Size ◽  
Pavement Distress ◽  
Design Guide ◽  
Pavement Structures ◽  
Level I

After the implementation of the Mechanistic-Empirical Pavement Design Guide (MEPDG) in Indiana, an overall evaluation of the stiffness characteristics of local AC mixtures and the ability of level III MEPDG predictive equations to estimate dynamic modulus (E*) with local mixtures was required. Therefore, the primary objectives of this study were to identify significant differences among Indiana asphalt mixtures, to evaluate the performance of commonly used E* predictive models, and to assess the influence of level III E* input on the pavement design life of typical pavement structures. It was found that Indiana mixtures do not show extensive variability among mixtures having the same nominal maximum aggregate size. When conducting a statistical analysis to group asphalt mixtures having similar characteristics, few mixtures were left out of the groups. In general, it was observed that mixtures having Ndes equal to 75, showed the lowest E* values along the entire frequency range. The Witczak 1-37A showed the most accurate and less biased E* predictions for Indiana mixtures. It showed the highest R2, and the least deviation from the measured E* values. However, predicted E* input values produced higher levels of pavement distress compared with measured E* values, indicating general overprediction. Besides, using level III (predictive) rather than level I (measured) E* input values can influence the pavement thickness design due to the functional performance (i.e., the International Roughness Index (IRI)). When a structural performance (i.e., bottom-up cracking) was taken into consideration, no influence of the E* input type on the design AC layer thickness was observed.

Mechanical Response Analysis of the Composite Asphalt Pavement

2014 ◽  
Vol 1023 ◽  
pp. 28-31
Author(s):  
Li Min Li
Keyword(s):  
Service Life ◽  
Mechanical Response ◽  
Asphalt Pavement ◽  
Road Construction ◽  
Pavement Design ◽  
Rigid Base ◽  
Response Analysis ◽  
Early Failure ◽  
Short Service Life ◽  
Design Software

With the constant increasing of traffic flow and axle load, the early failure of semi-rigid base asphalt pavement is increasingly serious in China. The bad durability and short service life of pavement have become main obstacles in road construction development. Based on the experience of successful application, the early failure of semi-rigid base asphalt pavement is solved, and the service life of pavement is increased by using of the composite asphalt pavement. To solve the design problem of the composite asphalt pavement , its mechanical properties influence results of are obtained by the factors, such as shear strain, shear stress, compression strain on top of subgrade, etc, by a lot of calculation using Shell pavement design software. These provide theoretical basis for durable asphalt pavement design based on rut-resistance property.

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
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