Mr. Xin Yuan Profile

Xin Yuan

at Wuhan Institute of Technology

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Proceedings Article | 14 February 2020 Paper

A novel dynamic test method of asphalt concrete permeability based on machine vision

Xin Yuan, Genqiang Jing, Dayi Lu, Lu Peng

Proceedings Volume 11432, 114320U (2020) https://doi.org/10.1117/12.2537439

KEYWORDS: Image processing, Image segmentation, Machine vision, Image filtering, Roads, Head, Image acquisition

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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.

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