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.

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 On the Applicability of Laser Scanning for Evaluation of the Pavement Serviceability Parameters

2021 ◽  
Vol 906 (1) ◽  
pp. 012138
Author(s):  
Veronika Valaskova ◽  
Jozef Vlcek ◽  
Alicja Kowalska-Koczwara
Keyword(s):  
Laser Scanning ◽  
Surface Condition ◽  
The State ◽  
Pavement Management ◽  
International Roughness Index ◽  
Pavement Management System ◽  
Operational Conditions ◽  
Pavement Surface ◽  
Roughness Surface ◽  
Complex Knowledge

Abstract Pavement performance is influenced by man factors such as climate and environmental conditions, traffic and operational conditions and type of pavement. These factors cause a pavement deterioration what leads to the restriction of the pavement serviceability or pavement efficiency. The pavement serviceability is the ability of the pavement to fulfil the service function represented by the actual values of variable parameters such as pavement surface roughness, surface evenness, pavement surface condition. The state of the pavement is assessed using different performance indicators when International Roughness Index (IRI) is most used. This approach allows to classify the state of the pavement in the pavement management system as a most used indexing, generalizes the pavement surface to the response of the testing car tire and the pavement. Laser scanning presented in this paper is able to bring the knowledge about the real pavement surface considering the accuracy of the method and equipment. Realized laser scanning proved the applicability of this method for the measurement of the pavement surface. Because of the complex knowledge of the pavement surface morphology, we can evaluate the pavement serviceability in terms of roughness, surface evenness or even pavement surface condition (rutting or cracks).

scholarly journals Using of Laser Scanners in Pavement Management

2021 ◽  
Vol 906 (1) ◽  
pp. 012077
Author(s):  
Martin Decky ◽  
Matus Kovac ◽  
Lukas Duris ◽  
Peter Pisca
Keyword(s):  
Decision Making ◽  
Laser Scanning ◽  
Surface Characteristics ◽  
Pavement Management ◽  
Correlation Dependence ◽  
The Public ◽  
Rigid Pavements ◽  
Laser Scanners ◽  
Evaluation Of Data ◽  
Project Level

Abstract The presented article introduces the utilization of laser scanning technology in the field of pavement management (PM) systems. Thanks its many advantages that allow objectification of road surface characteristics in a more holistic and sophisticated way, right decision-making within the PM, both at the network and project level. Specifically, outputs from the installed road scanners, such as SRS, Trimble CX and Lynx SG1 Mobile Mapper, have been combined to improve the accuracy. There has been found data correlation dependence of the development of rut depth for non-rigid pavements by evaluation of data from measurements at the public transport stop Hurbanova in Žilina during the years 1994 to 2018.

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.

Pavement surface friction and noise: integration into the pavement management system

2010 ◽  
Vol 37 (10) ◽  
pp. 1331-1340 ◽  
Author(s):  
M. Alauddin Ahammed ◽  
Susan L. Tighe
Keyword(s):  
Noise Exposure ◽  
Surface Friction ◽  
Surface Characteristics ◽  
Pavement Management ◽  
Value Engineering ◽  
Asphalt Pavements ◽  
Pavement Management System ◽  
Pavement Surface ◽  
Sound Barriers ◽  
Using Data

Pavement surface friction is an essential attribute of highway safety. The desired surface friction should also accommodate the seasonal and long-term variations. The available surface friction depends mainly on microtexture and macrotexture on pavement surfaces. An increased surface texture for increased and durable friction may increase the roadway noise, which is also a growing problem. Traditional sound barriers, constructed to reduce noise exposure, are very expensive. As the pavement surface characteristics play a key role in roadway noise generation, it provides a window for noise reduction by altering the pavement surface. The challenge, however, is to provide a smooth, quiet, long-lasting, and economic pavement with adequate and durable surface friction. This paper addresses this challenge and provides a realistic guideline. The correlation of tire–road noise and surface friction is examined using data collected from five different asphalt pavements. Frameworks for desired minimum surface friction and maximum roadway noise are provided. A modified value-engineering approach is proposed to accommodate the construction and maintenance costs, longevity, smoothness, safety, and noise in the selection of pavement surfaces.

DEFECT DETECTION AND QUALITY ASSESSMENT OF HARDWOOD LOGS:PART 2—COMBINED ACOUSTIC AND LASER SCANNING SYSTEM

2018 ◽  
Vol 50 (3) ◽  
pp. 310-322 ◽  
Author(s):  
Xiping Wang ◽  
Ed Thomas ◽  
Feng Xu ◽  
Yunfei Liu ◽  
Brian K Brashaw ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Defect Detection ◽  
Laser Scanning ◽  
Scanning System ◽  
Laser Scanning System
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