Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (5): 1411-1417.doi: 10.13229/j.cnki.jdxbgxb.20220547

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Intelligent sensing road active ice and snow removal system and experimental technology

Hai-bin WEI1(),Shuan-ye HAN1,Hai-peng BI1(),Qiong-hui LIU2,Zi-peng MA1   

  1. 1.College of Transportation，Jilin University，Changchun 130022，China
    2.Basic Department，Shandong College of Highway Technician，Jinan 253020，China
  • Received:2022-05-09 Online:2023-05-01 Published:2023-05-25
  • Contact: Hai-peng BI E-mail:weihb@jlu.edu.cn;bihp@jlu.edu.cn

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Abstract:

Active melting of ice and snow has gradually become an important method to solve the problem of road ice and snow. The preparation method of conductive rubber composites is produced in this paper. The snow melting effect was determined through outdoor experiments. Moreover, the corresponding finite element model was constructed. The active ice and snow melting system was used for engineering and the threshold of intelligent sensing system was determined. The results show that conductive rubber can melt 20 mm snow on the road in 3.17 h at 14 V and -8 ℃, which can realize rapid snow melting at low voltage. The outdoor test verifies the accuracy of the finite element model. The sensing system indicates that the intelligent sensing active ice and snow removal system can remove road ice and snow in time.

Key words: road engineering, active ice and snow removal system, numerical simulation, conductive rubber composite

CLC Number: 

  • U421.4

Fig.1

Raw materials of conductive rubber composite"

Fig.2

Structure of conductive ethylene propylene diene monomer rubber composite"

Fig.3

Intelligent sensing road active ice and snow removal system"

Fig.4

Intelligent sensing and control system box"

Table 1

Material parameters of finite element model"

结构层密度/ （kg·m-3）比热容/ ［J·（kg·°C）-1］导热系数/ ［W·（m·°C）-1］
沥青混凝土21007001.600
传热层115010000.800
隔热层2209000.035
雪层35021000.300

Fig.5

Temperature change of each structure during outdoor tests"

Fig.6

Temperature field distribution and result verification of numerical simulation"

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