A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The characterisation of three-dimensional texture morphology of pavement for describing pavement sliding resistance
A satisfactory pavement sliding resistance is the guarantee for traffic safety. However, the friction coefficient will be changed with the variation in test speed and the dry or waterish states of pavement, which limits the use of the traditional friction coefficient-based evaluation method. In order to improve the traditional friction coefficient-based evaluation method and expand the applicable scope, texture morphology-based characterisation indicators of the aspects of height, wavelength and shape were established. And the differences between 3D (three-dimensional) characterisation indicators and 2D (two-dimensional) characterisation indicators were analysed. The results show that compared with 3D characterisation indicators, 2D characterisation indicators cannot completely express the abundant information of factual texture morphology. Additionally, for reducing the multicollinearity characteristics, correlation analysis theory was used to analyse the correlation between different indicators. There is a significant correlation relationship between texture morphology-based characterisation indicators and sliding resistance, which implies that the evaluation of sliding resistance based on texture morphology is possible. Besides, the influence of texture morphology-based characterisation indicators on sliding resistance was further analysed. For different asphalt mixtures, the variations of sliding resistance can be well explained by the characteristics of texture morphology. Therefore, the pavement sliding resistance can consider using the texture morphology-based characterisation indicators to evaluate.
The characterisation of three-dimensional texture morphology of pavement for describing pavement sliding resistance
A satisfactory pavement sliding resistance is the guarantee for traffic safety. However, the friction coefficient will be changed with the variation in test speed and the dry or waterish states of pavement, which limits the use of the traditional friction coefficient-based evaluation method. In order to improve the traditional friction coefficient-based evaluation method and expand the applicable scope, texture morphology-based characterisation indicators of the aspects of height, wavelength and shape were established. And the differences between 3D (three-dimensional) characterisation indicators and 2D (two-dimensional) characterisation indicators were analysed. The results show that compared with 3D characterisation indicators, 2D characterisation indicators cannot completely express the abundant information of factual texture morphology. Additionally, for reducing the multicollinearity characteristics, correlation analysis theory was used to analyse the correlation between different indicators. There is a significant correlation relationship between texture morphology-based characterisation indicators and sliding resistance, which implies that the evaluation of sliding resistance based on texture morphology is possible. Besides, the influence of texture morphology-based characterisation indicators on sliding resistance was further analysed. For different asphalt mixtures, the variations of sliding resistance can be well explained by the characteristics of texture morphology. Therefore, the pavement sliding resistance can consider using the texture morphology-based characterisation indicators to evaluate.
The characterisation of three-dimensional texture morphology of pavement for describing pavement sliding resistance
Wang, Yuanyuan (author) / Yang, Zhiqiu (author) / Liu, Yanyan (author) / Sun, Lu (author)
Road Materials and Pavement Design ; 20 ; 1076-1095
2019-07-04
20 pages
Article (Journal)
Electronic Resource
English
Wavelet-based characterisation of asphalt pavement surface macro-texture
| British Library Online Contents | 2014
Wavelet-based characterisation of asphalt pavement surface macro-texture
| British Library Online Contents | 2014
Tire-Pavement Noise Prediction using Asphalt Pavement Texture
| Online Contents | 2018
Wavelet-based characterisation of asphalt pavement surface macro-texture
| Taylor & Francis Verlag | 2014
Tire-Pavement Noise Prediction using Asphalt Pavement Texture
| Springer Verlag | 2018