Determination of Minimum Dynamic Modulus (E*) of High Modulus Asphalt Concrete Applied to Semirigid Base Asphalt Pavement

2022 ◽  
Vol 34 (1) ◽  
Author(s):  
Ying Fang ◽  
Zhengqi Zhang ◽  
Suqing Wang ◽  
Jianhua Yang ◽  
Xinjun Li
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Asphalt Pavement ◽  
High Modulus

scholarly journals Cost-Effective Approaches Based on Machine Learning to Predict Dynamic Modulus of Warm Mix Asphalt with High Reclaimed Asphalt Pavement

Materials ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3272 ◽  
Author(s):  
Dong Van Dao ◽  
Ngoc-Lan Nguyen ◽  
Hai-Bang Ly ◽  
Binh Thai Pham ◽  
Tien-Thinh Le
Keyword(s):  
Machine Learning ◽  
Elastic Modulus ◽  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Cost Effective ◽  
Warm Mix Asphalt ◽  
Dynamic Elastic Modulus ◽  
Reclaimed Asphalt Pavement ◽  
Reclaimed Asphalt

Warm mix asphalt (WMA) technology, taking advantage of reclaimed asphalt pavements, has gained increasing attention from the scientific community. The determination of technical specifications of such a type of asphalt concrete is crucial for pavement design, in which the asphalt concrete dynamic modulus (E*) of elasticity is amongst the most critical parameters. However, the latter could only be determined by complicated, costly, and time-consuming experiments. This paper presents an alternative cost-effective approach to determine the dynamic elastic modulus (E*) of WMA based on various machine learning-based algorithms, namely the artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and ensemble boosted trees (Boosted). For this, a total of 300 samples were fabricated by warm mix asphalt technology. The mixtures were prepared with 0%, 20%, 30%, 40%, and 50% content of reclaimed asphalt pavement (RAP) and modified bitumen binder using Sasobit and Zycotherm additives. The dynamic elastic modulus tests were conducted by varying the temperature from 10 °C to 50 °C at different frequencies from 0.1 Hz to 25 Hz. Various common quantitative indications, such as root mean square error (RMSE), mean absolute error (MAE), and correlation coefficient (R) were used to validate and compare the prediction capability of different models. The results showed that machine learning models could accurately predict the dynamic elastic modulus of WMA using up to 50% RAP and fabricated by warm mix asphalt technology. Out of these models, the Boosted algorithm (R = 0.9956) was found as the best predictor compared with those obtained by ANN-LMN (R = 0.9954), SVM (R = 0.9654), and GPR (R= 0.9865). Thus, it could be concluded that Boosted is a promising cost-effective tool for the prediction of the dynamic elastic modulus (E*) of WMA. This study might help in reducing the cost of laboratory experiments for the determination of the dynamic modulus (E*).

Research of Fatigue Behavior of Asphalt Pavement Materials with WMA and RAP

2013 ◽  
Vol 361-363 ◽  
pp. 1783-1786 ◽  
Author(s):  
Bao Yang Yu ◽  
Yu Wang ◽  
Zhong Hua Zhao
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Life Cycle Cost ◽  
Asphalt Pavement ◽  
Fatigue Behavior ◽  
Road Construction ◽  
Asphalt Mixtures ◽  
Traffic Load ◽  
Porous Asphalt ◽  
Form Of Life

With the development of chinas road construction, the increase of traffic and the traffic load the fatigue of asphalt pavement under the vehicle load has become one of the major disruption in the form of life of life of asphalt concrete directly affect the service life and the performance use of asphalt pavement ,it is a key factor to determine the life cycle cost of asphalt concrete pavement construction. The objectives of this paper are to characterize the fatigue behavior of porous asphalt pavement mixtures containing RAP and a WMA additive using Super pave gyratory compactor and dynamic modulus testing. Four types of asphalt mixtures were evaluated in this study. This study evaluated compaction energy index, permeability, indirect tensile strength, and dynamic modulus for all types of porous asphalt mixtures. All of the asphalt mixtures meet the typical minimum coefficient of permeability in this study.

Research on Anti-Rutting Performance of High Modulus Asphalt Concrete Pavement

2010 ◽  
Vol 163-167 ◽  
pp. 4474-4477 ◽  
Author(s):  
Wei Ouyang ◽  
Guo Feng Yu ◽  
Fang Fang Zhu
Keyword(s):  
Dynamic Stability ◽  
Asphalt Concrete ◽  
Asphalt Pavement ◽  
Maximum Shear Stress ◽  
Middle Layer ◽  
High Modulus ◽  
Mechanical Calculation ◽  
Result Show ◽  
Pavement Structure ◽  
Asphalt Concrete Pavement

The new ways of anti-rutting was put forward by improving modulus of asphalt concrete and the effect of HMAT(high modulus asphalt concrete) on rutting is studied in view of mechanics; The cause of asphalt pavement track is closely related to pavement structure under load. Starting from the mechanism of rutting, the mechanical property of HMAT and the effect of modulus in middle layer on the rutting were analyzed; the dynamic stability and modulus of HMAC were analyzed by text and the result show that Increase of the dynamic stability and modulus of HMAC went against rutting; The mechanism of pavement structure was analyzed by the numerical analysis show that the maximum shear stress occurred in middle layer of pavement structure according to mechanical calculation. HMAC can raise modulus of elasticity of middle layer. HMAC can also improve stress state of pavement structure, reduce shear strain and prevent asphalt pavement track.

Analysis of the Mechanical Impact of High-Modulus Asphalt Concrete on Road Structure

2011 ◽  
Vol 97-98 ◽  
pp. 334-339 ◽  
Author(s):  
Xiu Shan Wang ◽  
Tuan Jie Chen ◽  
Xiao Jun Ding
Keyword(s):  
Finite Element ◽  
Asphalt Concrete ◽  
Mechanical Response ◽  
Asphalt Pavement ◽  
Three Dimensional ◽  
High Modulus ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Load Carrying ◽  
The Ideal

In order to study the rutting problem of asphalt pavement, this paper sets up a three-dimensional model of asphalt pavement with finite element. By analyzing the mechanical response of high-modulus asphalt concrete at different layers, this paper finds out the layer set of high-modulus asphalt concrete. At the same time, it further analyzes the influence of the modulus’ size and thickness of the high-modulus asphalt concrete on the load-carrying capability of road structure. The results show that high-modulus asphalt concrete can significantly restrain rutting problem and the recommend ideal modulus is between 2000MPa and 2500MPa; the ideal thickness ranges from 5cm to 7cm.

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