Measurement and Characterization of Asphalt Pavement Surface Macrotexture Using Three Dimensional Laser Scanning Technology

2014 ◽  
Vol 42 (4) ◽  
pp. 20130147 ◽  
Author(s):  
Feng Hong ◽  
Yaxiong (Robin) Huang
Keyword(s):  
Laser Scanning ◽  
Asphalt Pavement ◽  
Three Dimensional ◽  
Pavement Surface

scholarly journals Profile Features of Emulsified Asphalt Mixture Containing Steel Slag Based on Laser Scanning

Materials ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 2679 ◽  
Author(s):  
Feng Wang ◽  
Peide Cui ◽  
Xiaoshan Zhang ◽  
Mujaheed Yunusa ◽  
Yue Xiao
Keyword(s):  
Laser Scanning ◽  
Asphalt Pavement ◽  
Steel Slag ◽  
Asphalt Mixture ◽  
Three Dimensional ◽  
Free Calcium ◽  
Skid Resistance ◽  
Pavement Surface ◽  
Aggregate Morphology ◽  
Emulsified Asphalt

Micro-surfacing (MS), made of emulsified asphalt, is the most commonly used preventive maintenance technology in asphalt pavement. However, the studies on profile features of MS based on aggregate morphology are few. This study evaluated the profile features of MS and its effect on skid resistance. The aggregate morphologies were first characterized and modified emulsified asphalt was prepared. The three-dimensional profile features of four kinds of MS samples were captured by laser texture scanner. Results illustrate that steel slag aggregate can be used to enhance the skid resistance of pavement surface and bring about larger profile indexes than basalt and limestone due to its angularity index and flatness values. Further aging of steel slag to eliminate free calcium oxide (f-CaO) is recommended before being used in pavement surface layer.

Characterization of Asphalt Pavement Surface Texture

2012 ◽  
Vol 2295 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Timothy Miller ◽  
Daniel Swiertz ◽  
Laith Tashman ◽  
Nader Tabatabaee ◽  
Hussain U. Bahia
Keyword(s):  
Spectral Analysis ◽  
Surface Texture ◽  
Asphalt Pavement ◽  
Friction Characteristics ◽  
Frictional Properties ◽  
Pavement Surface ◽  
Analysis Methods ◽  
Texture Parameters ◽  
Laser Profiling

This paper presents improved analysis methods for characterizing asphalt pavement surface texture and focuses on the use of laser profiling techniques to estimate friction characteristics. Derived from signal processing theories, texture spectral analysis methods show promise for improving characterization of the tire–pavement interface. Texture parameters measured with spectral analysis techniques represent a means for quantifying surface properties. Current methods to analyze frictional properties rely on the mean profile depth (MPD) and mean texture depth (MTD) texture parameters. Although these parameters are used widely, they do not capture the range and distribution of surface asperities on the pavement surface. Knowing the distribution of surface asperities is critical for assessing friction characteristics. Thus, texture spectral analysis methods are anticipated to improve on the MPD and MTD parameters by capturing relevant texture-level distributions. This study investigates the applicability of laser profiling systems for measuring pavement surface texture and subsequent relationships to friction. Models accounting for aggregate and mixture properties are developed and related to texture parameters through analysis of constructed field sections and corresponding laboratory samples. Results indicate that stationary laser profiling systems can capture the microtexture and macrotexture spectrum and suggest that a comprehensive friction characterization of asphalt mixtures can be obtained in a laboratory setting. With this analysis system, it is believed that asphalt mixture designers will have an improved tool by which to estimate pavement surface texture and frictional properties.

scholarly journals Assessing Surface Texture Features of Asphalt Pavement Based on Three-Dimensional Laser Scanning Technology

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 623
Author(s):  
Bo Chen ◽  
Chunlong Xiong ◽  
Weixiong Li ◽  
Jiarui He ◽  
Xiaoning Zhang
Keyword(s):  
Control System ◽  
Surface Area ◽  
Surface Texture ◽  
Laser Scanning ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Three Dimensional ◽  
Texture Features ◽  
Road Surface ◽  
Asphalt Pavements

Pavement surface texture features are one of key factors affecting the skid resistance of pavement. In this study, a set of stable and reliable texture measurement equipment was firstly assembled by using the linear laser ranging sensor, control system and data acquisition system. Secondly, the equipment was calibrated, and the superposition error of sensor and control system was tested by making a standard gauge block. Thirdly, four different kinds of asphalt mixture were designed, and their surface texture features were obtained by leveraging a three-dimensional laser scanner. Therefore, the surface texture features were characterized as one-dimensional profile features and three-dimensional surface features. At the end of this study, a multi-scale texture feature characterization method was proposed. Results demonstrate that the measurement accuracy of the laser scanning system in the x-axis direction can be controlled ranging from −0.01 mm to 0.01 mm, the resolution in the XY plane is 0.05 mm, and the reconstructed surface model of surface texture features can achieve a good visualization effect. They also show that the root mean square deviation of surface profiles of different asphalt pavements fluctuates greatly, which is mainly affected by the nominal particle size of asphalt mixture and the proportion of coarse aggregate, and the non-uniformity of pavement texture distribution makes it difficult to characterize the roughness of asphalt pavement effectively by a single pavement surface profile. This study proposed a texture section method to describe the 3D distribution of road surface texture at different depths. The macrotexture of the road surface gradually changes from sparse to dense starting from the shallow layer. The actual asphalt pavement texture can be characterized by a simplified combination model of “cone + sphere + column”. By calculating the surface area distribution of macro and microtextures of different asphalt pavements, it was concluded that the surface area of asphalt pavement under micro scale is about 1.8–2.2 times of the cutting area, and the surface area of macrotexture is about 1.4 times of the cutting area. Moreover, this study proposed texture distribution density to characterize the roughness of asphalt pavement texture at different scales. The SMA index can represent the macroscopic structure level of different asphalt pavements to a certain extent, and the SMI index can well represent the friction level of different asphalt pavements.

scholarly journals Evaluating the asphalt pavement's surface characteristics by field testing

2020 ◽  
Vol 19 (3) ◽  
pp. 474-485
Author(s):  
Derya Kaya Ozdemir ◽  
◽  
Ali Topal ◽  
Bulent Kacmaz ◽  
Burak Sengoz
Keyword(s):  
Laser Scanning ◽  
Asphalt Pavement ◽  
Heavy Traffic ◽  
Textural Properties ◽  
Surface Characteristics ◽  
Pavement Management ◽  
Driving Safety ◽  
Scanning System ◽  
Frictional Properties ◽  
Pavement Surface

Pavement management systems are crucial because of monitoring the current pavement condition to supply safe, efficient, comfortable and durable riding surface for vehicles. Driving safety is the most important issue, which is closely related to pavement surface texture. The texture of the pavement surface and its ability to resist the polishing effect of heavy traffic is an important parameter in providing necessary skidding resistance during the service life. In this study, 4 different asphalt pavement sections located in Izmir/TURKEY with having different traffic characteristics were investigated every three months for two years aiming to evaluate the effect of traffic volume on the surface textural and frictional properties of the pavement. The textural properties were evaluated using sand patch test (SPT) and a 3D Laser Scanning System (LSS), while Dynamic Friction Tester (DFT) was employed to assess the frictional properties. As a result, lower Mean Texture Depth (MTD) and Mean Profile Depth (MPD) values were obtained for the increased traffic volumes. High correlation was derived between macro and micro textural properties of the asphalt pavement. Additionally, the textural and frictional properties were found highly related for the investigated asphalt pavement surfaces.

scholarly journals Study on Asphalt Pavement Surface Texture Degradation Using 3-D Image Processing Techniques and Entropy Theory

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 208 ◽  
Author(s):  
Yinghao Miao ◽  
Jiaqi Wu ◽  
Yue Hou ◽  
Linbing Wang ◽  
Weixiao Yu ◽  
...  
Keyword(s):  
Surface Texture ◽  
Asphalt Pavement ◽  
Three Dimensional ◽  
Entropy Theory ◽  
Pavement Surface ◽  
Vehicle Load ◽  
Road Surfaces ◽  
Physical Information ◽  
Processing Techniques ◽  
Decay Behavior

Surface texture is a very important factor affecting the anti-skid performance ofpavements. In this paper, entropy theory is introduced to study the decay behavior of thethree-dimensional macrotexture and microtexture of road surfaces in service based on the field testdata collected over more than 2 years. Entropy is found to be feasible for evaluating thethree-dimensional macrotexture and microtexture of an asphalt pavement surface. The complexityof the texture increases with the increase of entropy. Under the polishing action of the vehicle load,the entropy of the surface texture decreases gradually. The three-dimensional macrotexture decaycharacteristics of asphalt pavement surfaces are significantly different for different mixturedesigns. The macrotexture decay performance of asphalt pavement can be improved by designingappropriate mixtures. Compared with the traditional macrotexture parameter Mean Texture Depth(MTD) index, entropy contains more physical information and has a better correlation with thepavement anti-skid performance index. It has significant advantages in describing the relationshipbetween macrotexture characteristics and the anti-skid performance of asphalt pavement.

Effect of three-dimensional macrotexture characteristics on dynamic frictional coefficient of asphalt pavement surface

2016 ◽  
Vol 126 ◽  
pp. 720-729 ◽  
Author(s):  
Liqun Hu ◽  
Di Yun ◽  
Zhuangzhuang Liu ◽  
Shaowen Du ◽  
Zhen Zhang ◽  
...  
Keyword(s):  
Asphalt Pavement ◽  
Three Dimensional ◽  
Frictional Coefficient ◽  
Pavement Surface
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