2019
DOI: 10.3390/ma12010146
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Laboratory and Numerical Investigation of Microwave Heating Properties of Asphalt Mixture

Abstract: Microwave heating is an encouraging heating technology for the maintenance, recycling, and deicing of asphalt pavement. To investigate the microwave heating properties of asphalt mixture, laboratory tests and numerical simulations were done and compared. Two types of Stone Mastic Asphalt (SMA) mixture samples (with basalt aggregates and steel slag aggregates) were heated using a microwave oven for different times. Numerical simulation models of microwave heating of asphalt mixture were developed with finite el… Show more

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Cited by 46 publications
(26 citation statements)
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“…Microwave radiation has found different applications in pavement engineering, such as recycling of asphalt pavement [7] and deicing application [8] [9], although most of the researchers used microwave heating to promote self-healing process [10] [1]. When asphalt mixture is exposed to microwave radiation, heat is generated through conversion of the energy of the electromagnetic field [15]. Under the influence of an alternative electromagnetic field, the polar molecules of asphalt mixture attempt to line up (polarize) with the field.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Microwave radiation has found different applications in pavement engineering, such as recycling of asphalt pavement [7] and deicing application [8] [9], although most of the researchers used microwave heating to promote self-healing process [10] [1]. When asphalt mixture is exposed to microwave radiation, heat is generated through conversion of the energy of the electromagnetic field [15]. Under the influence of an alternative electromagnetic field, the polar molecules of asphalt mixture attempt to line up (polarize) with the field.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of asphalt mixture dielectric properties are affected not only by frequency and temperature, but also by other properties of the mixture, such as density, moisture and type of aggregates [21]. Several researchers have simulated the electro-magneto-thermal phenomenon of microwave heating in asphalt mixture by using different simulation models, and different parameters have been considered, such as complex permittivity, complex permeability and some thermal properties [15] [8][17] [7]. In this research, two kind of additives were studied with the aim of optimizing the microwave heating efficiency: Graphene and Electric Arc Furnace (EAF) Slag.…”
Section: Introductionmentioning
confidence: 99%
“…The inability of this polarization to follow the extremely rapid reversals of the electromagnetic field generates random motion and inter-molecular friction that produces heat [32,33]. Microwave heating basically depends on the strength and the frequency of electromagnetic field, the dielectric properties of the matter, which represents the efficiency of material in absorbing microwave energy, the conductivity losses and some thermal properties [34].…”
Section: Introductionmentioning
confidence: 99%
“…Several authors studied the dielectric properties of asphalt mixture for different applications, such as deicing [35], density measurement [36], recycling [33], and maintenance purposes [34,37]. Since the microwave susceptibility of conventional asphalt mixture is low, some authors have added microwave absorbing additives to the mixture for healing purposes [38], such as steel wool fibers [1,19,39,40], steel slag [2,37,41], steel shaving [42], ferrite [17,18] and carbon nanotubes [43].…”
Section: Introductionmentioning
confidence: 99%
“…Li et al [14] designed steel fiber modified asphalt concrete to promote the induction heating technology, while Cai et al [15] used engineered cementitious composites mortar to prepare flexible pavement materials with certain healing property. Numerical simulation models of microwave heating of asphalt mixture, which can be used for pavement maintenance, recycling, and deicing, were developed with finite element software by Wang et al [16].…”
mentioning
confidence: 99%