An eco-friendliness inductive asphalt mixture comprising waste steel shavings and waste ferrites

Liu, Kai; Fu, Chaoliang; Xu, Pengcheng; Li, Shuqin; Huang, Muyang

doi:10.1016/j.jclepro.2020.124639

Cited by 48 publications

(14 citation statements)

References 19 publications

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“…Resources Application cement municipal solid waste incineration fly ash [8] produce eco-friendly supplementary cementitious materials in the manufacture of eco-cements textile waste [9] produce lightweight concrete partition seashell waste [10] use seashell waste as fine aggregate or cement substitute clay brick waste [11] replace cement with brick waste powder to produce sustainable construction materials glass waste [12] replace cement with ground glass waste eggshell ash and strap plastic waste [13] replace cement with eggshell ash and reinforced with waste plastic fiber asphalt fish scale powder [14] use fish scale powder to improve asphalt performance waste wood [15] use bio-oil extracted from waste wood to rejuvenate asphalt binder waste steel shavings and waste ferrites [16] use waste steel shavings and ferrites to heal pavement crack by induction heating plastic waste [17] improve rutting and fatigue performance asphalt dry battery waste powder [18] improve high-temperature characteristics of asphalt swine manure [19] ameliorate low-temperature characteristics of asphalt others electronic wastes (polyethylene) [20] produce a construction part with electromagneticinterference-shielding characteristics city sewage sludge [21] produce clay bricks inexpensively residue of municipal solid waste pyrolysis [22] manufacture ceramic material It is well known that asphalt materials are widely used in road engineering construction because of their various advantages. Asphalt is extracted from crude oil, which is a non-renewable resource.…”

Section: Methodsmentioning

confidence: 99%

Research on High- and Low-Temperature Characteristics of Bitumen Blended with Waste Eggshell Powder

Wang

Zhang

et al. 2021

Materials

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The sustainability of resources is presently a major global concern. Sustainable construction materials can be produced by applying biological waste to engineering. Eggshells, as biological waste, are usually dumped in landfills or discarded. This causes many environmental problems including malodor, noise pollution, and serious waste of resources. To solve these problems, this study combined eggshell waste with bitumen materials for bio-roads construction. This paper investigated the impact of biological waste eggshell powder on the high- and low-temperature characteristics of bitumen materials. Scanning electron microscopy (SEM) revealed the microstructure of eggshell powder. The interaction between eggshell powder and asphalt was analyzed using Fourier transform infrared spectroscopy (FT-IR). The high- and low-temperature characteristics were investigated using conventional performance tests, and dynamic shear rheometer (DSR) and bending beam rheometer (BBR) experiments. These results indicate that eggshell powder (1) has a rough and porous microstructure; (2) has no apparent chemical reaction with asphalt; and (3) improves the consistency, hardness, and high-temperature characteristics. However, it reduces the plastic deformation capacity of asphalt, and the low-temperature crack resistance of asphalt cannot be improved. The research demonstrated that the application of eggshell powder in asphalt is feasible and has long-term resource and environmental advantages.

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Section: Methodsmentioning

confidence: 99%

Research on High- and Low-Temperature Characteristics of Bitumen Blended with Waste Eggshell Powder

Wang

Zhang

et al. 2021

Materials

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“…It refers to adding some metals to the asphalt mixture. When these metals are exposed to high-frequency alternating magnetic field generated by induction coils in the pavement system, they will generate heat through the Joule effect, thus heating the asphalt metals [44][45][46]. Based on the above technology, Apostolidis et al [47] employed induction heating system to accelerate the crosslinking of steel fiber modified epoxy-asphalt systems.…”

Section: Ermal Curingmentioning

confidence: 99%

Application of Epoxy‐Asphalt Composite in Asphalt Paving Industry: A Review with Emphasis on Physicochemical Properties and Pavement Performances

Chen

Hossiney

Yang

et al. 2021

Advances in Materials Science and Engineering

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One of the failure mechanisms associated with asphalt paving layers, especially on steel deck bridges, is large permanent deformation, which adversely affects its long-term performance in service. Thus, epoxy resin was introduced in asphalt paving industry to tackle permanent deformation of asphalt mixtures due to its thermosetting nature. In this review, epoxy resin as a dominant component of the epoxy-asphalt composite system was first considered, followed by a discussion on its curing methods and curing mechanism. Furthermore, the physicochemical property and mechanical performance of epoxy asphalt and epoxy asphalt mixture were thoroughly examined. Crosslink density of epoxy asphalt dictates its viscosity and thus the allowable construction time. Phase separation and dispersion of asphalt particles in the epoxy matrix was observed for epoxy-asphalt composite, and it showed superior elastic behavior and deformation resistance capability when compared with conventional asphalt materials. Furthermore, epoxy asphalt mixture exhibited significantly higher compressive strength, much better rutting resistance, and superior durability and water resistance properties. However, its low-temperature cracking resistance was slightly compromised.

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“…With the rapid development of computer science in recent years, neural networks have been widely used in the field of road engineering. A large number of domestic and foreign scholars use the BP neural network, RBF neural network, and general regression neural network for prediction Advances in Civil Engineering [25][26][27][28][29]. To solve the aforementioned problems in the multiple regression model, a neural network is used to establish a prediction model to further improve the accuracy of the prediction.…”

Section: Neural Network Prediction Modelmentioning

confidence: 99%

Dynamic Modulus Prediction of a High‐Modulus Asphalt Mixture

Wang

Tan

Chen

et al. 2021

Advances in Civil Engineering

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Dynamic modulus is a key evaluation index of the high-modulus asphalt mixture, but it is relatively difficult to test and collect its data. The purpose is to achieve the accurate prediction of the dynamic modulus of the high-modulus asphalt mixture and further optimize the design process of the high-modulus asphalt mixture. Five high-temperature performance indexes of high-modulus asphalt and its mixture were selected. The correlation between the above five indexes and the dynamic modulus of the high-modulus asphalt mixture was analyzed. On this basis, the dynamic modulus prediction models of the high-modulus asphalt mixture based on small sample data were established by multiple regression, general regression neural network (GRNN), and support vector machine (SVM) neural network. According to parameter adjustment and cross-validation, the output stability and accuracy of different prediction models were compared and evaluated. The most effective prediction model was recommended. The results show that the SVM model has more significant prediction accuracy and output stability than the multiple regression model and the GRNN model. Its prediction error was 0.98–9.71%. Compared with the other two models, the prediction error of the SVM model declined by 0.50–11.96% and 3.76–13.44%. The SVM neural network was recommended as the dynamic modulus prediction model of the high-modulus asphalt mixture.

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An eco-friendliness inductive asphalt mixture comprising waste steel shavings and waste ferrites

Cited by 48 publications

References 19 publications

Research on High- and Low-Temperature Characteristics of Bitumen Blended with Waste Eggshell Powder

Research on High- and Low-Temperature Characteristics of Bitumen Blended with Waste Eggshell Powder

Application of Epoxy‐Asphalt Composite in Asphalt Paving Industry: A Review with Emphasis on Physicochemical Properties and Pavement Performances

Dynamic Modulus Prediction of a High‐Modulus Asphalt Mixture

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