Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture

Elastic pavements, low-freezing point pavements, and energy exchange pavements meet the function of road ice and snow melting but may damage the pavement performance. To solve the above problems, this study intends to develop a noncontact snow-melting pavement by using induction heating technology....

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Main Authors: Yifeng Xia, Jie Jia, Qian Chen
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2022/7029176
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author Yifeng Xia
Jie Jia
Qian Chen
author_facet Yifeng Xia
Jie Jia
Qian Chen
author_sort Yifeng Xia
collection DOAJ
description Elastic pavements, low-freezing point pavements, and energy exchange pavements meet the function of road ice and snow melting but may damage the pavement performance. To solve the above problems, this study intends to develop a noncontact snow-melting pavement by using induction heating technology. The steel wool asphalt mixture was prepared, and the effects of steel wool on road performances including the high-temperature performance, low-temperature performance, water stability, and fatigue performance were studied. The influence of the asphalt mixture’s factors, environmental factors, and human factors on the ice-melting characteristics of steel wool asphalt mixture was analyzed. A prediction model of the ice-melting rate of steel wool asphalt mixture based on a double-hidden layer backpropagation (BP) neural network was established. The results show that the road performance of the asphalt mixture mixed with steel wool mostly meets the requirements of the specification. The increase in steel wool content and length can improve the road performance to a certain extent. In terms of ice-melting performance, the content and length of steel wool have a beneficial effect on the ice-melting rate. The lower the ambient temperature or the thicker the ice layer, the slower the ice-melting rate. The greater the heating intensity, the faster the ice-melting rate. The average absolute error of the melting ice prediction model is 0.016, so the melting ice effect can be well predicted by this model.
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institution Kabale University
issn 1687-8094
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publishDate 2022-01-01
publisher Wiley
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series Advances in Civil Engineering
spelling doaj-art-b44ea3980ca44cd28b98d0f22d04ba7d2025-02-03T01:22:56ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/7029176Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt MixtureYifeng Xia0Jie Jia1Qian Chen2School of Civil EngineeringSchool of Civil EngineeringSchool of HighwayElastic pavements, low-freezing point pavements, and energy exchange pavements meet the function of road ice and snow melting but may damage the pavement performance. To solve the above problems, this study intends to develop a noncontact snow-melting pavement by using induction heating technology. The steel wool asphalt mixture was prepared, and the effects of steel wool on road performances including the high-temperature performance, low-temperature performance, water stability, and fatigue performance were studied. The influence of the asphalt mixture’s factors, environmental factors, and human factors on the ice-melting characteristics of steel wool asphalt mixture was analyzed. A prediction model of the ice-melting rate of steel wool asphalt mixture based on a double-hidden layer backpropagation (BP) neural network was established. The results show that the road performance of the asphalt mixture mixed with steel wool mostly meets the requirements of the specification. The increase in steel wool content and length can improve the road performance to a certain extent. In terms of ice-melting performance, the content and length of steel wool have a beneficial effect on the ice-melting rate. The lower the ambient temperature or the thicker the ice layer, the slower the ice-melting rate. The greater the heating intensity, the faster the ice-melting rate. The average absolute error of the melting ice prediction model is 0.016, so the melting ice effect can be well predicted by this model.http://dx.doi.org/10.1155/2022/7029176
spellingShingle Yifeng Xia
Jie Jia
Qian Chen
Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
Advances in Civil Engineering
title Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
title_full Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
title_fullStr Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
title_full_unstemmed Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
title_short Road Performance and Ice-Melting Characteristics of Steel Wool Asphalt Mixture
title_sort road performance and ice melting characteristics of steel wool asphalt mixture
url http://dx.doi.org/10.1155/2022/7029176
work_keys_str_mv AT yifengxia roadperformanceandicemeltingcharacteristicsofsteelwoolasphaltmixture
AT jiejia roadperformanceandicemeltingcharacteristicsofsteelwoolasphaltmixture
AT qianchen roadperformanceandicemeltingcharacteristicsofsteelwoolasphaltmixture