Inductive asphalt pavement layers for improving electromagnetic heating performance

International Journal of Pavement Engineering, vol. 24

Abstract

A multi-layer inductive healing layer (ML-IHL) based on the magnetic field distribution characteristics was designed to solve gradient healing behaviors of conventional single-layer inductive healing layer (CSL-IHL). Two representative conductive metals, including waste steel shaving and steel wool fibers, were used to prepare two kinds of ML-IHL, which is a 2-layer system composed of asphalt mixtures with different conductive metal contents. Then infrared images of the temperature distribution of ML-IHLs and CSL-IHL were recorded to analyze the temperature changes at different depths. Subsequently, the temperature coefficient of variation and radar chart method was used to evaluate the temperature gradient. Results show that as the difference in the conductive metal contents between the two lays of the ML-IHL increases, the temperature gradient gradually decreases. Also, it is recommended that the optimum content in the upper layer containing waste steel shavings or steel wool fibers is 4% or 2%, and the optimum content in the lower layer is 8%. Finally, the inductive healing test of the optimal scheme shows that the healing effect of the upper and lower layers of both ML-IHL has been significantly improved, and the healing rate difference between the two layers is all less than 2%.

Authors 6

1. Chaoliang Fu Aachen Institute of Highway Engineering

   Anhui Jianzhu University · RWTH Aachen University

   Affiliation as printed

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany

   School of Civil Engineering, Anhui Jianzhu University, Hefei, People’s Republic of China

   School of Civil Engineering, Anhui Jianzhu University, Hefei, People's Republic of China

2. Fang Wang corresponding

   Anhui Jianzhu University

   Affiliation as printed

   School of Civil Engineering, Anhui Jianzhu University, Hefei, People’s Republic of China

   School of Civil Engineering, Anhui Jianzhu University, Hefei, People's Republic of China

3. Kai Liu
   Affiliation as printed

   Engineering Research Center for Intelligent Transportation and Cooperative Vehicle-Infrastructure of Anhui Province, Hefei, People’s Republic of China

   Engineering Research Center for Intelligent Transportation and Cooperative Vehicle-Infrastructure of Anhui Province, Hefei, People's Republic of China

4. Quantao Liu

   Wuhan University of Technology · State Key Laboratory of Silicate Materials for Architecture

   Affiliation as printed

   State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan, People’s Republic of China

   State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan, People's Republic of China

5. Pengfei Liu Aachen Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany

6. Markus Oeser Aachen Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany