scholarly journals The influence of the pavement surface texture on the Pendulum Test Value

2021 ◽  
Vol 1015 (1) ◽  
pp. 012100
Author(s):  
M Kováč ◽  
M Brna
Keyword(s):  
Surface Texture ◽  
Pavement Surface ◽  
Pendulum Test

Evaluation of pavement surface texture at the network level

2018 ◽  
Vol 34 (1) ◽  
pp. 87-98
Author(s):  
Shuvo Islam ◽  
Mustaque Hossain ◽  
Richard Miller
Keyword(s):  
Surface Texture ◽  
Pavement Surface

High-Speed Noncontact Profiling of Pavement Surface Texture and Its Significance

1986 ◽  
Vol 108 (3) ◽  
pp. 455-461
Author(s):  
J. C. Wambold ◽  
J. J. Henry
Keyword(s):  
Surface Texture ◽  
High Speed ◽  
Large Scale ◽  
Vision System ◽  
Small Scale ◽  
Skid Resistance ◽  
Texture Measurement ◽  
Pavement Surface ◽  
Texture Characteristics ◽  
Regression Techniques

It is generally agreed that the friction between a tire and a wet pavement (skid resistance) is controlled by the surface texture characteristics. Therefore, by measuring the relevant parameters describing texture, or by measuring a physical process dependent on texture, regression techniques can be used to relate skid resistance to the chosen texture parameter or process. Two scales of texture are of particular importance: microtexture (small-scale asperities) and macrotexture (large-scale asperities). This paper describes work performed to: (1) review candidate macrotexture and microtexture measurement methods that can be made at highway speeds (at or about 64 km/h [40 mph]), which are presently used or have potential for use in pavement texture measurement; (2) design and build a prototype of the most promising method; and (3) evaluate the effects of pavement surface texture on skid resistance. A prototype noncontact vision system that makes texture measurements at highway speeds was developed, and several improvements were made to upgrade the system to provide an improved prototype. Both hardware and software enhancements have yielded a texture measurement system that can obtain pavement macrotexture data in a fast, efficient, and reliable way.

scholarly journals High-Definition Field Texture Measurements for Predicting Pavement Friction

2019 ◽  
Vol 2673 (1) ◽  
pp. 246-260 ◽  
Author(s):  
Natalia Zuniga-Garcia ◽  
Jorge A. Prozzi
Keyword(s):  
Panel Data Analysis ◽  
Laser Scanner ◽  
Field Measurements ◽  
Surface Friction ◽  
Alternative Methods ◽  
High Definition ◽  
Pavement Surface ◽  
Pendulum Test ◽  
Profile Depth ◽  
Friction Models

Monitoring and managing skid resistance properties are crucial activities to reduce the number of highway accidents and fatalities. However, current methodologies to measure pavement surface friction present several disadvantages that make them impractical. Thus, it is necessary to evaluate alternative methods to estimate friction. The principal objective of this study was to develop friction models based on pavement texture. We implemented a Line Laser Scanner (LLS) to obtain an improved characterization of the pavement texture which includes macrotexture and incorporates microtexture description using eight different parameters. Field measurements of friction and texture were collected around Texas using the British Pendulum Test (BPT), the Dynamic Friction Test (DFT), the micro-GripTester, and the LLS. The experimental results showed that there is not a unique relationship between texture and friction; though strong and statistically significant, the relationship is different for each type of pavement surface. Thus, regression analysis pooling all data cannot be utilized to quantify this relationship. For this reason, we applied a panel data analysis approach that allows the incorporation of the type of surface and provides a more robust analysis. The results indicate that the prediction of friction is significantly improved when incorporating information from both macrotexture and microtexture into the prediction model. Therefore, a measure of microtexture should be included into friction models based on texture. In addition, the study of different texture parameters suggests that the mean profile depth (MPD) is the most significant parameter for macrotexture and for microtexture to explain the distinct friction measures.

Evaluation of pavement surface texture significance and measurement techniques

Wear ◽  
1982 ◽  
Vol 83 (2) ◽  
pp. 351-368 ◽  
Author(s):  
James C. Wambold ◽  
John Jewett Henry ◽  
Rudolph R. Hegmon
Keyword(s):  
Surface Texture ◽  
Measurement Techniques ◽  
Pavement Surface

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 Surface Texture And Layer Permeability Of Aquaplaning Resistant Asphalt Pavements

2021 ◽  
Vol 1202 (1) ◽  
pp. 012026
Author(s):  
Audrius Vaitkus ◽  
Dovydas Skrodenis ◽  
Ovidijus Šernas ◽  
Viktoras Vorobjovas
Keyword(s):  
Traffic Safety ◽  
Surface Texture ◽  
Large Scale ◽  
Water Film ◽  
Limestone Powder ◽  
Asphalt Pavements ◽  
Porous Asphalt ◽  
Permeability Characteristics ◽  
Pavement Surface ◽  
Noise Absorption

Abstract Tire/pavement noise is one of the biggest environmental problems caused by the contact between the car tire and the pavement surface. It is known that porous asphalt (PA) pavements has good properties in noise absorption, however these mixtures could also solve another important problem which appear on roads – aquaplaning. This phenomenon reduces traffic safety and driving comfort. Aquaplaning appears when tires become separated from the pavement surface by thin water film and the ability to increase braking force or control the vehicle motion is almost entirely lost. Although, PA pavements have relatively low durability properties. This research aims analyse surface texture and permeability characteristics of aquaplaning resistant asphalt pavements. Four different mixtures with different largest particle size (AT 5, AT 8, AT 11 and AT 16) were tested. Large-scale laboratory testing was performed to evaluate their surface texture and permeability properties The research revealed, that mixtures with 8 % activated mineral limestone powder (AMLP) showed better mechanical and physical properties than comparing to other mixtures with 4 % AMLP and 4 % granite screenings or just 4 % AMLP.

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