A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Study on the conductivity of graphite modified asphalt concrete for snow melting and deicing based on modified self-consistent model
Snow melting and deicing of pavement has long been a subject that has attracted researchers from a diverse range of fields. In this paper, graphite modified asphalt concrete was used to melt snow and ice on pavement. The micromechanics theory of composites was used to establish the effective electrical conductivity model of graphite modified asphalt concrete. Flake graphite was used as the conductive phase. Considering the hexagonal inclusion of graphite particles, the Eshelby tensor was calculated. The modified self-consistent (MSC) model was based on the self-consistent theory and percolation theory considering the polygonal inclusion of Eshelby tensor. By comparison, the predicted values of the MSC model were in good agreement with the experimental values. The conductivity of graphite modified asphalt concrete was studied by the finite element (FE) simulation according to the prediction model. The predicted conductivity value of 0.13 S/m at 18Vol% of graphite volume fraction was applied to proceed the finite element analysis (FEA). The temperature field distribution and the ice-melting performance of graphite modified asphalt concrete were calculated by the influence of different input power, environment temperature and wind speed. Through analysis and research, the input power reaching between 600 W to 1000 W was more reasonable. Wind speed had a greater effect on ice melting time when the wind scale exceeded 3 scale at lower input power. The application of MSC model and FEA can play an important role in the design and application of deicing or snow melting systems.
Study on the conductivity of graphite modified asphalt concrete for snow melting and deicing based on modified self-consistent model
Snow melting and deicing of pavement has long been a subject that has attracted researchers from a diverse range of fields. In this paper, graphite modified asphalt concrete was used to melt snow and ice on pavement. The micromechanics theory of composites was used to establish the effective electrical conductivity model of graphite modified asphalt concrete. Flake graphite was used as the conductive phase. Considering the hexagonal inclusion of graphite particles, the Eshelby tensor was calculated. The modified self-consistent (MSC) model was based on the self-consistent theory and percolation theory considering the polygonal inclusion of Eshelby tensor. By comparison, the predicted values of the MSC model were in good agreement with the experimental values. The conductivity of graphite modified asphalt concrete was studied by the finite element (FE) simulation according to the prediction model. The predicted conductivity value of 0.13 S/m at 18Vol% of graphite volume fraction was applied to proceed the finite element analysis (FEA). The temperature field distribution and the ice-melting performance of graphite modified asphalt concrete were calculated by the influence of different input power, environment temperature and wind speed. Through analysis and research, the input power reaching between 600 W to 1000 W was more reasonable. Wind speed had a greater effect on ice melting time when the wind scale exceeded 3 scale at lower input power. The application of MSC model and FEA can play an important role in the design and application of deicing or snow melting systems.
Study on the conductivity of graphite modified asphalt concrete for snow melting and deicing based on modified self-consistent model
Yi Yang (author) / Canlong Wu (author)
2024
Article (Journal)
Electronic Resource
Unknown
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