Journal ArticleDOI
Heating asphalt mixtures with microwaves to promote self-healing
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In this paper, the authors present the results of a research into the technical viability of heating asphalt mixtures with microwaves and how the microwaves influence the heating process of the different variables involved.About:
This article is published in Construction and Building Materials.The article was published on 2013-05-01. It has received 167 citations till now. The article focuses on the topics: Steel wool.read more
Citations
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Self-healing of asphalt mixture by microwave and induction heating
TL;DR: In this article, the effect of microwave and induction heating on self-healing of asphalt mixture test samples was evaluated by measuring the mass of test samples before and after the heating process, and it was found that microwave technology is more effective than induction heating to heal cracks in asphalt roads.
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Induction healing of dense asphalt concrete
Alvaro Garcia,Moises Bueno,Jose Norambuena-Contreras,Jose Norambuena-Contreras,Manfred N. Partl,Manfred N. Partl +5 more
TL;DR: In this article, different mixtures, with different lengths, quantities and diameters of steel wool fibres have been considered, and a semi-empirical model, explaining asphalt healing through the capillary theory has been developed and fitted to the results.
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The healing capability of asphalt pavements: a state of the art review
TL;DR: In this article, the authors present a comprehensive summary of various studies concerning healing capability of bituminous materials in order to arrange the relevant topics, evaluation of their results and finding the essential fields for further investigations as a step toward designing sustainable infrastructures.
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A comprehensive review on self-healing of asphalt materials: Mechanism, model, characterization and enhancement
TL;DR: This review presents a comprehensive summary of the state-of-the-art investigations concerning the self-healing mechanism, model, characterization and enhancement, ranging from asphalt to asphalt pavement.
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Utilization of steel slag as aggregate in asphalt mixtures for microwave deicing
TL;DR: In this article, the feasibility of the use of steel slag as the aggregate of asphalt mixtures for microwave deicing, and ascertain the most effective volume and particle sizes for partial replacement of conventional aggregate.
References
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Book
Self healing materials: An alternative approach to 20 centuries of materials science
TL;DR: In this article, Ashby et al. introduce material design principles for self-healing polymers and composites, and present a model for self healing of skin tissue in concrete materials.
Journal ArticleDOI
Induction heating of electrically conductive porous asphalt concrete
TL;DR: In this paper, an electrically conductive porous asphalt concrete, used for induction heating, was prepared by adding electricallyconductive filler (steel fibers and steel wool) to the mixture.
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Investigation of the conductivity of asphalt concrete containing conductive fillers
TL;DR: In this article, the effects of filler type, filler content and mixed fillers on the resistivity of asphalt concrete were investigated, and the results showed that the insulating-conductive percolation transition of resistivity under the function of filler content appears in the single-filler composites and the percolated threshold is approximately 12%, 10%, and 5% by volume percentage of the binder phase for carbon black, graphite and carbon fibre respectively.
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Induction healing of asphalt mastic and porous asphalt concrete
TL;DR: In this article, the authors detect the healing effect of asphalt mastic and porous asphalt concrete caused by induction heating and conclude that the self healing rate of both mastic beams and asphalt concrete can be increased by induction heat.
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Laboratory evaluation of fatigue damage and healing of asphalt mixtures
Jo Sias Daniel,Y. Richard Kim +1 more
TL;DR: In this paper, the changes in the stiffness of two asphalt concrete mixtures due to temperature, fatigue damage growth, and healing during rest periods are evaluated using the impact resonance method.