Experimental Characterization of Viscoelastic Behaviors of Nano-TiO2/CaCO3 Modified Asphalt and Asphalt Mixture

Wu, Chunli; Li, Liding; Wang, Wensheng; Gu, Zhongwei

doi:10.3390/nano11010106

Cited by 25 publications

(13 citation statements)

References 50 publications

(60 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two commonly used viscoelastic models, i.e., the Burgers model and modified Burgers model, are adopted to fit the above-measured creep deformation curves. The Burgers model and modified Burgers model have been described in detail in previous studies [ 34 , 40 , 41 ], and are given in Equations (1) and (2).

where E 1 , E 2 , η 1 , and η 2 are viscoelastic parameters, and A and B are fitting constants.…”

Section: Resultsmentioning

confidence: 99%

Performance Deterioration of Asphalt Mixture under Chloride Salt Erosion

et al. 2021

Self Cite

View full text Add to dashboard Cite

In order to ensure smooth traffic and driving safety, deicing salt or snow melting agents are usually adopted to solve the problem of traffic jams and prevent pavement surfaces from freezing. The objective of this present study is to investigate the performance deterioration evaluation of asphalt mixture under the chloride salt erosion environment. Five chloride salt solution concentrations were designed and the uniaxial static compression creep test, low-temperature IDT test, freeze-thaw splitting test, and freeze-thaw cycle test were carried out for asphalt mixtures (AC-16) soaked in chloride salt solution. Results showed that with the increase in chloride salt solution concentration, the high-temperature stability, low-temperature crack resistance, and water stability of the asphalt mixture decreases. Moreover, the high-temperature stability, low-temperature crack resistance, and water stability of the asphalt mixture show a decreasing trend under different chloride salt solution concentrations following the negative cubic polynomial function. Based on the viscoelastic analysis, chloride salt solution could reduce the ability of the asphalt mixture to resist instantaneous elastic deformation and permanent deformation, and this influence will become more obvious with the increase in chloride salt solution concentration. In addition, the salt freeze-thaw cycle test indicated that in the early stage of freeze-thaw cycles, the splitting tensile strength of the asphalt mixture decreases rapidly, then tends to be flat, and then decreases rapidly. This study explores the performance damage law of asphalt mixture under salt corrosion, and the analysis results of this study could provide some references for the chloride salt dosage in the snow melting project while spreading deicing salt.

show abstract

where E 1 , E 2 , η 1 , and η 2 are viscoelastic parameters, and A and B are fitting constants.…”

Section: Resultsmentioning

confidence: 99%

Performance Deterioration of Asphalt Mixture under Chloride Salt Erosion

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…To further quantitatively analyze the influence of temperature on creep characteristics of OGFC, the Burgers model and modified Burgers model, shown in Figure 3 and Equations ( 17) and (18), were applied to fit the creep compliance curve [30][31][32][33]. The parameters of the two models are fitted by the programming algorithm in Excel software (Microsoft Corporation, Albuquerque, NM, USA) according to Equation (19).…”

Section: Creep Characteristic Analysis Based On the Burgers Model And The Modified Burgers Modelmentioning

confidence: 99%

Comparative Analysis of Viscoelastic Properties of Open Graded Friction Course under Dynamic and Static Loads

Cheng

et al. 2021

Polymers

Self Cite

View full text Add to dashboard Cite

The viscoelastic properties of open graded friction course (OGFC) are closely related to anti-permanent deformation ability, noise reduction ability and durability. To study the viscoelastic parameters of OGFC under dynamic and static loads and to establish the functional relationship between them, uniaxial compression creep tests and dynamic modulus tests were performed to obtain the creep compliance and the dynamic modulus of OGFC. In addition, the Burgers model, modified Burgers model, second-order extensive Maxwell model, Scott-Blair model and modified Sigmoid model were employed to quantitatively analyze the dynamic and static viscoelastic properties of OGFC. Subsequently, the relaxation modulus of OGFC was deduced by the viscoelastic theory. Then, the dynamic modulus of OGFC was calculated according to the deduced relaxation modulus. Based on the calculated values and the measured values of dynamic modulus, the functional relationship of viscoelastic parameters of OGFC under dynamic and static loads was established. The results show that the increase in test temperature has adverse effects on the viscoelastic indexes of OGFC, such as creep compliance, relaxation modulus, and dynamic modulus; the dynamic modulus derived from static creep compliance has a good linear correlation with that obtained by dynamic modulus tests, but the correlation of the phase angle is poor.

show abstract

“…Many researchers around the world tried to use different methods to enhance the service performances of asphalt pavement, and many additives like polymers, diatomite, fibres, etc. were selected to mix with asphalt materials [9][10][11][12][13]. Studies demonstrated that diatomite has been effective in improving the anti-rutting performance and water damage resistance [14].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

Liang

Chen

et al. 2021

Applied Sciences

Self Cite

View full text Add to dashboard Cite

Asphalt mixture proportion design is one of the most important steps in asphalt pavement design and application. This study proposes a novel multi-objective particle swarm optimization (MOPSO) algorithm employing the Gaussian process regression (GPR)-based machine learning (ML) method for multi-variable, multi-level optimization problems with multiple constraints. First, the GPR-based ML method is proposed to model the objective and constraint functions without the explicit relationships between variables and objectives. In the optimization step, the metaheuristic algorithm based on adaptive weight multi-objective particle swarm optimization (AWMOPSO) is used to achieve the global optimal solution, which is very efficient for the objectives and constraints without mathematical relationships. The results showed that the optimal GPR model could describe the relationship between variables and objectives well in terms of root-mean-square error (RMSE) and R2. After the optimization by the proposed GPR-AWMOPSO algorithm, the comprehensive pavement performances were enhanced in terms of the permanent deformation resistance at high temperature, crack resistance at low temperature as well as moisture stability. Therefore, the proposed GPR-AWMOPSO algorithm is the best option and efficient for maximizing the performances of composite modified asphalt mixture. The GPR-AWMOPSO algorithm has advantages of less computational time and fewer samples, higher accuracy, etc. over traditional laboratory-based experimental methods, which can serve as guidance for the proportion optimization design of asphalt pavement.

show abstract

Experimental Characterization of Viscoelastic Behaviors of Nano-TiO2/CaCO3 Modified Asphalt and Asphalt Mixture

Cited by 25 publications

References 50 publications

Performance Deterioration of Asphalt Mixture under Chloride Salt Erosion

Performance Deterioration of Asphalt Mixture under Chloride Salt Erosion

Comparative Analysis of Viscoelastic Properties of Open Graded Friction Course under Dynamic and Static Loads

Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

Contact Info

Product

Resources

About