2020
DOI: 10.1016/j.mtcomm.2020.101527
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Recovery capacity of electroconductive asphalt mortars under the influence of magnetic fields

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Cited by 2 publications
(4 citation statements)
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“… Eco-friendly; strain-sensing capabilities; temperature-sensing capabilities; pressure-sensing capabilities; economically feasible; improved response time Requires further development and field-testing; can have high initial costs [ 111 , [112] , [113] , [114] , [115] , [116] ] Self-Healing Asphalt Pavements Smart Pavements Many self-healing asphalt technologies try to restore and utilize asphalt's inherent self-healing behavior. Technologies include additives and nanoparticles, in-situ heating, and rejuvenation using encapsulation, hollow fibers, or vascular fibers Increased pavement lifetime; reduces lifecycle costs; reduces emissions related to maintenance Many of the technologies need further testing before ready for application [ 111 , [117] , [118] , [119] , [120] , [121] , [122] , [123] , [124] , [125] , [126] , [127] , [128] , [129] , [130] ] Self-Healing Concrete Pavements Smart Pavements The leading process of self-healing in concrete pavements is through the introduction of bacteria to create calcium carbonate, which can fill microcracks Increased pavement lifetime; reduces lifecycle costs; reduces emissions related to maintenance; and some have proven to improve concrete strength, durability, and resistance Less explored than self-healing in asphalt pavements; slow overall process; unknown biological health effects [ [131] , [132] , [133] , [134] , [135] ] Information Interaction Pavements Smart Pavements Integrated framework design systems for entire road...…”
Section: Resultsmentioning
confidence: 99%
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“… Eco-friendly; strain-sensing capabilities; temperature-sensing capabilities; pressure-sensing capabilities; economically feasible; improved response time Requires further development and field-testing; can have high initial costs [ 111 , [112] , [113] , [114] , [115] , [116] ] Self-Healing Asphalt Pavements Smart Pavements Many self-healing asphalt technologies try to restore and utilize asphalt's inherent self-healing behavior. Technologies include additives and nanoparticles, in-situ heating, and rejuvenation using encapsulation, hollow fibers, or vascular fibers Increased pavement lifetime; reduces lifecycle costs; reduces emissions related to maintenance Many of the technologies need further testing before ready for application [ 111 , [117] , [118] , [119] , [120] , [121] , [122] , [123] , [124] , [125] , [126] , [127] , [128] , [129] , [130] ] Self-Healing Concrete Pavements Smart Pavements The leading process of self-healing in concrete pavements is through the introduction of bacteria to create calcium carbonate, which can fill microcracks Increased pavement lifetime; reduces lifecycle costs; reduces emissions related to maintenance; and some have proven to improve concrete strength, durability, and resistance Less explored than self-healing in asphalt pavements; slow overall process; unknown biological health effects [ [131] , [132] , [133] , [134] , [135] ] Information Interaction Pavements Smart Pavements Integrated framework design systems for entire road...…”
Section: Resultsmentioning
confidence: 99%
“…The fibers are then heated with induction heating, and the diffusion of the asphalt binder is activated [ 117 ]. Due to this activation, the asphalt has the ability to move and can thus seal cracks through capillary flow [ 126 ]. Contrary to induction heating, microwave heating does not require additives, therefore decreasing the cost and effort associated with the technology [ 118 ].…”
Section: Resultsmentioning
confidence: 99%
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“…In order to minimise the air void influence on the study of the aggregate/binder adhesiveness and its evolution subsequent to water action, the compaction process targets a void content close to 0% as pointed out in other studies (27,39). Once compacted, the specimens were cut in order to obtain the prismatic specimens of 8.5 x 8.5 x 50 mm that would subsequently be used in the DMA (Dynamic Mechanical Analyzer) characterisation.…”
Section: Parametermentioning
confidence: 99%