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Proceedings Paper

A novel dynamic test method of asphalt concrete permeability based on machine vision
Author(s): Xin Yuan; Genqiang Jing; Dayi Lu; Lu Peng
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Paper Abstract

The permeability coefficient (PCOEF) is an important indicator to characterize the performance of asphalt concrete pavement. The dynamic PCOEF is more helpful to understand the permeability performance of the asphalt concrete in comparison to the traditional average PCOEF. A method for dynamically testing the permeability coefficient of asphalt concrete is proposed. In this method, the camera is placed at a suitable position to ensure continuously imaging the water level. The images that record the water level changes are saved and processed in the runtime. Then, by mapping the water level positions to the capacities and recording the corresponding time, the real-time PCOEF can be calculated at each point-in-time. The experimental results show that the dynamic PCOEF for a certain specimen with a PCOEF of 531mL/min by traditional method can vary between 443-630 mL/min. The results also demonstrate that the proposed method is useful for the research of dynamic performance of asphalt concrete under rainy conditions.

Paper Details

Date Published: 14 February 2020
PDF: 9 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114320U (14 February 2020);
Show Author Affiliations
Xin Yuan, Wuhan Institute of Technology (China)
Genqiang Jing, Research Institute of Highway Ministry of Transport (China)
Dayi Lu, Research Institute of Highway Ministry of Transport (China)
Lu Peng, Research Institute of Highway Ministry of Transport (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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