Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating

Snow and ice is one of the main problems affecting road safety in winter. In order to effectively remove the snow and ice of covering the pavement, the deicing property of asphalt mixture pavement containing steel wool fiber was introduced and investigated by electromagnetic induction heating. Based...

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Autores principales: Cunhong Xu, Kejin Wang, Kehong Li, Youjie Zong
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:eef440f812364b4c95eb29687bf718772021-11-25T17:15:28ZDeicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating10.3390/coatings111112762079-6412https://doaj.org/article/eef440f812364b4c95eb29687bf718772021-10-01T00:00:00Zhttps://www.mdpi.com/2079-6412/11/11/1276https://doaj.org/toc/2079-6412Snow and ice is one of the main problems affecting road safety in winter. In order to effectively remove the snow and ice of covering the pavement, the deicing property of asphalt mixture pavement containing steel wool fiber was introduced and investigated by electromagnetic induction heating. Based on the deicing mechanism of Faraday’s law of electromagnetic induction and the Joule’s law, the influences factors affecting deicing efficiency, including length and content of steel wool fiber, ice thickness, output current and ambient temperature were analyzed. Meanwhile, the grey correlation entropy analysis and <i>t</i>-test between the average deicing rate and various influencing factors were explored. BP neural network prediction models of predicting change laws of average deicing rate under different influencing factors were established. The results indicate that the average deicing rate of asphalt mixture adding steel wool fiber increases with the increase of length and content of steel wool fiber. The influence degree of each factor for the average deicing rate is in order as follows: steel wool fiber content, steel wool fiber length, output current, ambient temperature and ice thickness. BP neural network has high accuracy in predicting average deicing rate under various influencing factors and the better simulation results. It is of significance to apply the technology of “electromagnetic induction heating & steel wool fiber” to the efficient deicing of asphalt pavement.Cunhong XuKejin WangKehong LiYoujie ZongMDPI AGarticleroad engineeringasphalt mixturesteel wool fiberdeicing propertyelectromagnetic induction heatinggrey entropy methodEngineering (General). Civil engineering (General)TA1-2040ENCoatings, Vol 11, Iss 1276, p 1276 (2021)
institution DOAJ
collection DOAJ
language EN
topic road engineering
asphalt mixture
steel wool fiber
deicing property
electromagnetic induction heating
grey entropy method
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle road engineering
asphalt mixture
steel wool fiber
deicing property
electromagnetic induction heating
grey entropy method
Engineering (General). Civil engineering (General)
TA1-2040
Cunhong Xu
Kejin Wang
Kehong Li
Youjie Zong
Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
description Snow and ice is one of the main problems affecting road safety in winter. In order to effectively remove the snow and ice of covering the pavement, the deicing property of asphalt mixture pavement containing steel wool fiber was introduced and investigated by electromagnetic induction heating. Based on the deicing mechanism of Faraday’s law of electromagnetic induction and the Joule’s law, the influences factors affecting deicing efficiency, including length and content of steel wool fiber, ice thickness, output current and ambient temperature were analyzed. Meanwhile, the grey correlation entropy analysis and <i>t</i>-test between the average deicing rate and various influencing factors were explored. BP neural network prediction models of predicting change laws of average deicing rate under different influencing factors were established. The results indicate that the average deicing rate of asphalt mixture adding steel wool fiber increases with the increase of length and content of steel wool fiber. The influence degree of each factor for the average deicing rate is in order as follows: steel wool fiber content, steel wool fiber length, output current, ambient temperature and ice thickness. BP neural network has high accuracy in predicting average deicing rate under various influencing factors and the better simulation results. It is of significance to apply the technology of “electromagnetic induction heating & steel wool fiber” to the efficient deicing of asphalt pavement.
format article
author Cunhong Xu
Kejin Wang
Kehong Li
Youjie Zong
author_facet Cunhong Xu
Kejin Wang
Kehong Li
Youjie Zong
author_sort Cunhong Xu
title Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
title_short Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
title_full Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
title_fullStr Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
title_full_unstemmed Deicing Property of Asphalt Mixture Containing Steel Wool Fiber by Electromagnetic Induction Heating
title_sort deicing property of asphalt mixture containing steel wool fiber by electromagnetic induction heating
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/eef440f812364b4c95eb29687bf71877
work_keys_str_mv AT cunhongxu deicingpropertyofasphaltmixturecontainingsteelwoolfiberbyelectromagneticinductionheating
AT kejinwang deicingpropertyofasphaltmixturecontainingsteelwoolfiberbyelectromagneticinductionheating
AT kehongli deicingpropertyofasphaltmixturecontainingsteelwoolfiberbyelectromagneticinductionheating
AT youjiezong deicingpropertyofasphaltmixturecontainingsteelwoolfiberbyelectromagneticinductionheating
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