A criterion of asphalt pavement rutting based on the thermal-visco-elastic-plastic model

Tong, Jusheng; Ma, Tao; Shen, Kairen; Zhang, Hanyu; Wu, Shaopeng

doi:10.1080/10298436.2020.1792470

Cited by 44 publications

(7 citation statements)

References 24 publications

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“…The temperature for combining aggregates and compaction is set according to SNI 06-2489-1991 method. At the same time, the mixed aggregate, which contained 14 percent CA, 46…”

Section: Temperatures For Mixing and Compactionmentioning

confidence: 99%

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The Impact of HDPE Plastic Seeds on the Performance of Asphalt Mixtures

Nawir

2021

Civ Eng J

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Plastic waste processing is a problem that almost several countries in the Asian region are unable to overcome. One of the latest innovations carried out in the field of road pavement construction is mixing HDPE type plastic waste that has been processed into plastic seeds into the asphalt concrete mixture. Previous research has shown that HDPE plastic waste may be reused to improve the physical properties of temperature-sensitive asphalt and improve the stability of asphalt concrete. This study was conducted to determine the effect of using HDPE plastic ore as a mixed additive on the Asphalt Concrete-Wearing Course (AC-WC) using Marshall parameters. Marshall Parameters used are stability, flow, VIM, VMA, VFA, and MQ. The study was conducted in a laboratory by testing 42 samples with different levels of HDPE plastic seeds, mixed using wet methods to determine Marshall Characteristics. Manufacture of test objects using asphalt type, which has a penetration rate of 60/70. The initial research results showed that the optimal asphalt content (OAC) is 5.5%, with the percentage content of HDPE plastic seeds around 0, 1, 2, 3, 4, 5, 6, and 7% compared to asphalt weight. The results showed that the effect of HDPE plastic seed content on the AC-WC mixture increased the value of Marshall Characteristics and met all the requirements of SNI 06-2489-1991. This finding shows that HDPE plastic seeds deserve to be an alternative material for road pavements. Doi: 10.28991/cej-2021-03091744 Full Text: PDF

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“…The temperature for combining aggregates and compaction is set according to SNI 06-2489-1991 method. At the same time, the mixed aggregate, which contained 14 percent CA, 46…”

Section: Temperatures For Mixing and Compactionmentioning

confidence: 99%

“…The Marshall Quotient (MQ) is a comparison of the stability and melt (flow) values, which is also an empirical indicator of the stiffness of the mixture [46]. The greater the MQ value, the stiffer a combination is and the more vulnerable it is to break [47].…”

Section: Marshall Quotientmentioning

confidence: 99%

The Impact of HDPE Plastic Seeds on the Performance of Asphalt Mixtures

Nawir

2021

Civ Eng J

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“…Al-Rub et al (2010) developed and verified the micro-loss healing model and improved the ability of the integrated nonlinear viscoelastic, viscoplastic and viscoloss constitutive models based on continuous loss mechanics to predict the fatigue life of asphalt pavement mixture. Tong et al (2020), based on the thermal viscoelastic mathematical model and Perzyna theory, considering the two factors of temperature and traffic load, applied the finite element model and numerical analysis to put forward the rutting evaluation criteria of asphalt pavement suitable for different situations. Bernier et al (2012) measured the viscoelastic parameters of polymer-modified asphalt by using asphalt pavement analyzer (APA) and dynamic shear rheological test (DSR), constructed the main dynamic shear modulus curve and evaluated its viscoelastic characteristics and creep recovery characteristics by using multistress.…”

Section: Introductionmentioning

confidence: 99%

Evolution and comprehensive evaluation of viscoelastic characteristics of road asphalt in medium temperature region

Zhang

et al. 2022

MMMS

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PurposeIn order to determine the range of medium temperature zone of road asphalt, it is hoped that the evolution of viscoelastic characteristics of road asphalt under medium temperature state can be deeply explored.Design/methodology/approachIn this paper, the needle penetration test and temperature scanning test were designed for 90# and 70# bitumen as test materials, and the boundary of medium temperature zone of 90# and 70# bitumen was accurately determined by data analysis method. A mathematical model was established based on principal component analysis, and a comprehensive evaluation index was proposed to evaluate the evolution of temperature viscoelastic characteristics of road asphalt by means of standardization and rotational dimensionality reduction.FindingsThe test results show that the medium temperature zone of 90# asphalt is [−5 ± 1°C, 38 ± 1°C], and the medium temperature zone of 70# asphalt is [0 ± 1°C, 51 ± 1°C]. According to the viscoelastic response of road asphalt in the medium temperature zone, the medium temperature zone can be divided into three evolution stages: weak viscoelastic stage, viscoelastic equilibrium stage, strong viscoelastic weak stage. Analysis based on the intrinsic viscosity fillip target describing the various intrinsic viscoelastic index represents the viscoelastic properties of bitumen from different angles, and limitations inherent stick fillip for target put forward the integrated the inherent stick fillip mark information, as well as targeted and accurate evaluation of road asphalt temperature comprehensive evaluation indexes in the evolution of the viscoelastic properties of IM-T. Finally, the temperature data of asphalt pavement in several representative regions of China are compared with the determined medium temperature region, and it is proved that the research on the evolution of viscoelastic characteristics of asphalt pavement under the medium temperature condition has important practical significance.Originality/valueThe boundary of medium temperature zone of 90# and 70# base asphalt was determined, and the viscoelastic characteristic evolution of road asphalt under medium temperature state was studied deeply. Aiming at the limitation of intrinsic viscoelastic index, a comprehensive evaluation index IM-T which not only integrates the information of intrinsic viscoelastic index but also can accurately evaluate the evolution of temperature viscoelastic characteristics in road asphalt is proposed.

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“…Nowadays, it has been realized that ordinary asphalt pavements are usually unable to service the development of traffic, due to various forms of destruction including cracking, rutting etc. [1][2][3][4][5][6][7][8]. 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.…”

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

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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.

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A criterion of asphalt pavement rutting based on the thermal-visco-elastic-plastic model

Cited by 44 publications

References 24 publications

The Impact of HDPE Plastic Seeds on the Performance of Asphalt Mixtures

The Impact of HDPE Plastic Seeds on the Performance of Asphalt Mixtures

Evolution and comprehensive evaluation of viscoelastic characteristics of road asphalt in medium temperature region

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

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