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通过图像分析方法建立路面纹理-摩擦关系

Pavement Texture-Friction Relationship Establishment via Image Analysis Methods.

作者信息

Pranjić Ivana, Deluka-Tibljaš Aleksandra

机构信息

Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, Croatia.

出版信息

Materials (Basel). 2022 Jan 23;15(3):846. doi: 10.3390/ma15030846.

DOI:10.3390/ma15030846
PMID:35160792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8836797/
Abstract

Pavement surface texture is one of the prevailing factors for friction realization on pavement surfaces. In this paper, an overview of pavement texture properties related to the pavement frictional response is given. Image analysis methods used for pavement texture characterization are thoroughly analyzed together with their potential for the establishment of a pavement texture-friction relationship. Digital pavement surface models derived from photogrammetry or laser scanning methods enable the extraction of texture parameters comparable to the ones acquired by common pavement surface measuring techniques. This paper shows the results of a preliminary small-scale research study of the pavement texture-friction relationship. This research was performed in a laboratory which produced asphalt samples, primarily to analyze the potential of developing a methodology for the digital pavement texture model setup. Furthermore, the relationship between selected 2D texture parameters calculated from the digital texture model and measured friction coefficient expressed as SRT value was analyzed. A significant correlation was established for standard texture indicator mean profile depth (MPD) and SRT values (R = 0.81). Other texture parameters showed moderate correlation with the frictional response of the surface, with absolute values of correlation coefficients varying from 0.7 to 0.75. A further analysis of this relationship will be performed by inclusion of other texture parameters that can be determined from the digital texture model acquired by the established methodology.

摘要

路面表面纹理是路面表面实现摩擦力的主要因素之一。本文对与路面摩擦响应相关的路面纹理特性进行了概述。对用于路面纹理表征的图像分析方法及其建立路面纹理 - 摩擦关系的潜力进行了全面分析。源自摄影测量或激光扫描方法的数字路面表面模型能够提取与通过常见路面表面测量技术获取的纹理参数相当的纹理参数。本文展示了一项关于路面纹理 - 摩擦关系的初步小规模研究的结果。这项研究在一个生产沥青样本的实验室中进行,主要目的是分析开发一种数字路面纹理模型设置方法的潜力。此外,分析了从数字纹理模型计算出的选定二维纹理参数与以SRT值表示的测量摩擦系数之间的关系。对于标准纹理指标平均轮廓深度(MPD)和SRT值建立了显著相关性(R = 0.81)。其他纹理参数与表面的摩擦响应显示出中等相关性,相关系数的绝对值在0.7至0.75之间变化。将通过纳入可以从通过既定方法获取的数字纹理模型中确定的其他纹理参数来进一步分析这种关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/07a0db13a9e9/materials-15-00846-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/129b1d3852c8/materials-15-00846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/a966a360a9fc/materials-15-00846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/96e3b9a08f62/materials-15-00846-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/07a0db13a9e9/materials-15-00846-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/129b1d3852c8/materials-15-00846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/a966a360a9fc/materials-15-00846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/96e3b9a08f62/materials-15-00846-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5596/8836797/07a0db13a9e9/materials-15-00846-g004.jpg

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本文引用的文献

1
Study of Pavement Micro- and Macro-Texture Evolution Due to Traffic Polishing Using 3D Areal Parameters.基于三维面积参数的交通磨耗导致路面微观和宏观纹理演变研究
Materials (Basel). 2021 Oct 2;14(19):5769. doi: 10.3390/ma14195769.
2
Study on Asphalt Pavement Surface Texture Degradation Using 3-D Image Processing Techniques and Entropy Theory.基于三维图像处理技术和熵理论的沥青路面表面纹理退化研究
Entropy (Basel). 2019 Feb 21;21(2):208. doi: 10.3390/e21020208.
3
Tire-Road Contact Area on Asphalt Concrete Pavement and Its Relationship with the Skid Resistance.
沥青混凝土路面上的轮胎-路面接触面积及其与抗滑性能的关系。
Materials (Basel). 2020 Jan 30;13(3):615. doi: 10.3390/ma13030615.
4
Laser scanning on road pavements: a new approach for characterizing surface texture.路面激光扫描:一种用于描述表面纹理的新方法。
Sensors (Basel). 2012;12(7):9110-28. doi: 10.3390/s120709110. Epub 2012 Jul 3.