Open Access
ARTICLE
The Machine Learning Based Finite Element Analysis on Road Engineering of Built-in Carbon Fiber Heating Wire
Yuhua Penga, Dingyue Chena, Lihao Chenb, Jiayu Yub, Mengjie Baoa
a Chang’an University, Xi’an, China
b Northwest University, Xi'an, China
* Corresponding Author: Dingyue Chen,
Intelligent Automation & Soft Computing 2018, 24(3), 531-539. https://doi.org/10.31209/2018.100000020
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.
Keywords
Cite This Article
Y. Peng, D. Chen, L. Chen, J. Yu and M. Bao, "The machine learning based finite element analysis on road engineering of built-in carbon fiber heating wire,"
Intelligent Automation & Soft Computing, vol. 24, no.3, pp. 531–539, 2018.