@Article{2018.100000020,
AUTHOR = {Yuhua Peng, Dingyue Chen, Lihao Chen, Jiayu Yu, Mengjie Bao},
TITLE = {The Machine Learning Based Finite Element Analysis on Road Engineering of Built-in Carbon Fiber Heating Wire},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {531--539},
URL = {http://www.techscience.com/iasc/v24n3/39778},
ISSN = {2326-005X},
ABSTRACT = {For the study of the effect of deicing with carbon fiber heating wire in the 
bridge pavement structure, through built-in carbon fiber heating wire in the 
bridge pavement structure, experimental studies were carried out indoor on the 
effects of thermal conductivity in different embedding positions, layout spacing 
and the installs power of carbon fiber heating wire. With indoor laboratory test 
data as the basic parameters, using ABAQUS finite element software simulation, 
an analysis was carried out of the degree that the surface temperature of the 
heating wire, the thermal physical parameters of asphalt concrete, and 
environmental conditions have influence on the melting effect. With a 50 m 
bridge between the left Shanggaoqiao tunnel exports with 2# Dabaozhai tunnel 
entrance in Ma Zhao Highway as the test section, this paper introduces the 
carbon fiber heating wire grooving laying process and construction methods.},
DOI = {10.31209/2018.100000020}
}