Evaluation of Fatigue Life of Asphalt Concrete From Dynamic Modulus Test

2017 ◽  
Author(s):  
Md Mehedi Hasan ◽  
Hasan M. Faisal ◽  
Biswajit K. Bairgi ◽  
A. S. M. Rahman ◽  
Rafiqul Tarefder
Keyword(s):  
Fatigue Life ◽  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Performance Testing ◽  
Fatigue Performance ◽  
Construction Sites ◽  
Reclaimed Asphalt ◽  
Wide Range ◽  
Dynamic Modulus Test ◽  
Study Laboratory

Asphalt concrete’s dynamic modulus (|E*|) is one of the key input parameters for structural design of flexible pavement according to the Mechanistic Empirical Pavement Design Guide (MEPDG). Till this day, pavement industry uses |E*| to predict pavement performance whether the material is hot mix asphalt (HMA) or warm mx asphalt or Reclaimed Asphalt Pavement (RAP) mixed HMA. However, it is necessary to investigate the correlation of |E*| with laboratory performance testing. In this study, laboratory dynamic modulus test was conducted on four different asphalt concrete mixtures collected from different construction sites in the state of New Mexico and mastercurves were obtained to evaluate dynamic modulus (|E*|) for a wide range of frequency. In addition, fatigue performance of these mixtures was predicted from the mastercurves and compared with the laboratory fatigue performance testing. Fatigue performance of these mixtures was evaluated from the four point beam fatigue test. The laboratory results show a good agreement with the predicted value from mastercurves. It is also observed from this study that the fatigue life of the asphalt concrete materials decreases with increase in |E*| value.

Effects of Conductive Fillers on the Dynamic Response and Fatigue life of Conductive Asphalt Concrete

2007 ◽  
Vol 348-349 ◽  
pp. 145-148 ◽  
Author(s):  
Shao Peng Wu ◽  
Bo Li ◽  
Jian Qiu ◽  
Ning Li
Keyword(s):  
Fatigue Life ◽  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Load Cycle ◽  
Initial Crack ◽  
Asphalt Pavements ◽  
Negative Effects ◽  
Cycle Times ◽  
Dynamic Modulus Test ◽  
Conductive Fillers

It is currently interesting to use thermal or electrical conductive asphalt concrete for snow-melting and maintenance of asphalt pavements in winter. The addition of conductive fillers may have negative effects on the mechanical properties of asphalt concrete. The performance of conductive asphalt concrete is greatly affected by the initial crack and its propagation. Laboratory tests for neat and conductive asphalt concrete include Dynamic Modulus Test (DMT) and Indirect Tensile Fatigue Test (ITFT). DMT tests indicates that the value of dynamic modulus of asphalt concrete decreases with the increasing graphite content. It means that the conductive asphalt concrete achieves lower stiffness. It can be concluded from ITFT tests that the fatigue life (load cycle times) of conductive asphalt concrete is more than neat ones when stress level is under 1.0 MPa. Meanwhile higher fatigue resistance of conductive asphalt concrete is observed when carbon fibers (2 weight % of total aggregate) were added together with 22% graphite, especially at low stress levels.

scholarly journals The Effect of Using Sustainable Materials on the Performance-Related Properties of Asphalt Concrete Mixture

2019 ◽  
Vol 5 (12) ◽  
pp. 2727-2737
Author(s):  
Amjad H. Albayati ◽  
Waleed Arrak Turkey
Keyword(s):  
Tensile Strength ◽  
Fatigue Life ◽  
Asphalt Concrete ◽  
Asphalt Mixture ◽  
Concrete Pavements ◽  
Strength Ratio ◽  
Damage Resistance ◽  
Reclaimed Asphalt ◽  
Production Temperature ◽  
Materials Used

Sustainability is very important in this world at this time. One of the best materials used for sustainability in asphalt concrete pavements is the warm mix asphalt (WMA) as well as the reclaimed asphalt pavement (RAP). WMA technology has the ability to reduce production temperature to reduce the fuel usage and emissions. RAP is the old concrete asphalt mixture that is out of service and using it again leads to preservation of the virgin material. This search studied the viability of using WMA with different percentages of RAP (10%, 30%, and 50%) and compared them with control hot mix asphalt (HMA) and WMA. The Marshall properties, Tensile strength ratio (TSR), rut depth and fatigue life were determined in this work. The results showed that the tensile strength ratio (TSR) for HMA was better than that for WMA by 6%, rut depth for HMA was (4.37 mm) lower than that for WMA was (6.5mm), better fatigue life was obtained for WMA was (700 cycle) as compared to HMA was (500 cycle). In case of WMA with RAP (WMA-RAP), when the percentage of RAP increased with WMA, the moisture damage resistance improved by 2.5%, 13.3% and 15.4% for G1, G3 and G5 respectively, also the rutting resistance improved by 34.6%, 48% and 62.3% for G1, G3 and G5 respectively, but deteriorated of fatigue life by 45.8%, 74% and 88.5% for G1, G3 and G5 respectively.

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*).

The Property Research on Interfacial Modificated Semi-Flexible Pavement Material

2011 ◽  
Vol 71-78 ◽  
pp. 1090-1098
Author(s):  
Yan Yang ◽  
Shao Long Huang ◽  
Qing Jun Ding ◽  
Xin Yan Peng
Keyword(s):  
Shear Strength ◽  
Fatigue Life ◽  
Low Temperature ◽  
Dynamic Modulus ◽  
Stress Ratio ◽  
Flexible Pavement ◽  
Bending Test ◽  
Interfacial Modification ◽  
Dynamic Modulus Test ◽  
Interfacial Modifier

Based on shearing test, bending test in low temperature, fatigue test and dynamic modulus test, the text researched the effect on the property of the semi-flexible pavement by a kind of interfacial modifier. The study showed the feasible content of interfacial modifier was 0.4～0.6% . Used 0.4%, the shear strength reached 1.83MPa, flexural strength 6.97MPa, and fatigue-life was over 40000 at 0.2 stress ratio. From interfacial modification, the synthesis property of semi-flexible pavement was especially perfect.

scholarly journals Fatigue Evaluation of Recycled Asphalt Mixture Based on Energy-Controlled Mode

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Tao Ma ◽  
Kai Cui ◽  
Yongli Zhao ◽  
Xiaoming Huang
Keyword(s):  
Fatigue Life ◽  
Asphalt Mixture ◽  
Asphalt Mixtures ◽  
Fatigue Performance ◽  
Fatigue Properties ◽  
Dissipated Energy ◽  
Recycled Asphalt ◽  
Reclaimed Asphalt ◽  
Bending Fatigue Test ◽  
Fatigue Evaluation

The fatigue properties of asphalt mixtures are important inputs for mechanistic-empirical pavement design. To understand the fatigue properties of asphalt mixtures better and to predict the fatigue life of asphalt mixtures more precisely, the energy-controlled test mode was introduced. Based on the implementation theory, the laboratory practice for the energy-controlled mode was realized using a four-point-bending fatigue test with multiple-step loading. In this mode, the fatigue performance of typical AC-20 asphalt specimens with various reclaimed asphalt pavement (RAP) contents was tested and evaluated. Results show that the variation regulation of the dissipated energy and accumulative energy is compatible with the loading control principle, which proves the feasibility of the method. In addition, the fatigue life of the asphalt mixture in the energy-controlled mode was between that for the stress-controlled and strain-controlled modes. The specimen with a higher RAP content has a longer fatigue life and better fatigue performance.

scholarly journals Characterization of Various Plant-Produced Asphalt Concrete Mixtures Using Dynamic Modulus Test

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Muhammad Irfan ◽  
Asad S. Waraich ◽  
Sarfraz Ahmed ◽  
Yasir Ali
Keyword(s):  
Asphalt Concrete ◽  
Dynamic Modulus ◽  
Prediction Models ◽  
Compressive Loading ◽  
Asphalt Mixture ◽  
Statistical Technique ◽  
Loading Frequency ◽  
Concrete Mixtures ◽  
Dynamic Modulus Test ◽  
Stress Dependent

This research characterizes the performance of various plant-produced asphalt concrete mixtures by dynamic modulus|E∗|test using asphalt mixture performance tester (AMPT). Marshall designed specimens of seven different mixtures were prepared using the Superpave gyratory compactor and subjected to sinusoidal compressive loading at various temperatures (4.4 to 54.4°C) and loading frequencies (0.1 to 25 Hz). A catalog of default dynamic modulus values for typical asphalt concrete mixtures of Pakistan was established by developing stress-dependent master curves separately, for wearing and base course mixtures. The sensitivity of temperature and loading frequency on determination of dynamic modulus value was observed by typical isothermal and isochronal curves, respectively. Also, the effects of various variables on dynamic modulus were investigated using statistical technique of two-level factorial design of experiment. Furthermore, two dynamic modulus prediction models, namely, Witczak and Hirsch, were evaluated for their regional applicability. Results indicated that both the Witczak and Hirsch models mostly underpredict the value of dynamic modulus for the selected conditions/mixtures. The findings of this study are envisaged to facilitate the implementation of relatively new performance based mechanistic-empirical structural design and analysis approach.

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