Research on the Skidding Resistance and Attenuation Characteristics of Asphalt Pavement Based on Image Recognition-Analysis Strategy
Author:
Zhang Ke12, Xi Dianliang2, Zhao Yu1, Xie Wei1, Zhang Wei13, Gao Jiantao4
Affiliation:
1. School of Business, Fuyang Normal University, Fuyang 236041, China 2. School of Civil Architecture, Anhui University of Science & Technology, Huainan 232001, China 3. School of Highway, Chang’an University, Xi’an 710064, China 4. Fuyang Traffic Energy Investment Co., Ltd., Fuyang 236001, China
Abstract
To accurately evaluate the skidding resistance of asphalt pavements, a texture imaging device was developed to realize the standardized acquisition of pavement images. Based on the gray-level co-occurrence matrix and multifractal theory of texture structure, the influence of segregation degree and gradation type on the texture properties of asphalt pavement was studied. Meanwhile, a comprehensive evaluation index of skidding resistance was proposed for asphalt pavement. Furthermore, the attenuation characteristics of the anti-skidding performance for asphalt mixture were explored, and the corresponding attenuation model of asphalt pavement was established. The results show that the segregation degree and gradation type significantly affected the texture parameters and anti-skidding performance of asphalt mixture. Specially, with an increase in the segregation degree of coarse aggregate, the parameters of energy, entropy, and multifractal spectrum width gradually increased, whereas the inertial moment gradually decreased. The variation range of the multifractal spectrum difference initially increased and subsequently decreased. For the texture parameters such as energy, entropy, inertial moment, and multifractal spectrum width Δα, the values of the asphalt mixture with larger nominal maximum particle were higher than those of the mixture with smaller nominal maximum particle, whereas the multifractal spectrum difference value showed the opposite law. In addition, the texture parameters of energy, entropy, and multifractal spectrum width exhibited good linear correlation with the texture depth (TD) of asphalt mixtures with various segregation levels and gradation types. The index based on the texture parameters of energy, entropy, and multifractal spectrum width effectively evaluated the skidding resistance of asphalt pavements, which showed the same trend as the TD with the increase of the abrasion number. The achievement provides an effective solution for the evaluation of skidding resistance and attenuation characteristics of asphalt mixtures.
Funder
Key project of Natural Science Research of Anhui Provincial Department of Education National Natural Science Foundation of China Quality Engineering Project of Colleges and Universities in Anhui Province Provincial Natural Science Foundation of Anhui Key Project of Excellent Youth Talent Program in Anhui Universities Industrial Chain Research and Innovation Team of Fuyang Normal University Research Projects Funded by Enterprises
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