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.

scholarly journals Factors Affecting Maintenance Probability and Resurfacing Thickness Based on the Pavement Management System

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongmei Li ◽  
Jiwang Jiang ◽  
Fujian Ni
Keyword(s):  
Management System ◽  
Classification Tree ◽  
Surface Friction ◽  
Middle Layer ◽  
Severity Index ◽  
Influential Factors ◽  
Pavement Management ◽  
Key Factors ◽  
Tree Model ◽  
Pavement Management System

In order to investigate the key factors and analyze their effects on maintenance and rehabilitation (M&R) strategies, data for 2495 pavement sections were collected from the pavement management system (PMS), including pavement performance data, traffic data, material property data, and M&R record data. Logistic regression was first employed to explore the influential factors on maintenance probability. Afterward, the classification tree model was established to find out the key factors on resurfacing thickness. Results showed that road sections with higher IRI, rutting depth (RD), deterioration rate of surface friction coefficient (DRSFC), pavement patching ratio (PPR), and transverse cracking severity index (TCSI) before treatment had significantly higher maintenance probability, which could be quantified by the developed logistic model. Moreover, treatments implemented on bridge decks tended to have greater resurfacing thickness. For pavement M&R projects, with the tensile strength ratio (TSR) of top layer materials higher than 88.7% and pretreatment SFC higher than 49, the resurfacing thickness would be thinner. For bridge M&R projects, middle layer TSR higher than 88.3% led to thinner overlays, and much thinner resurfacing thickness can be observed if pretreatment RD was less than 8.72 mm. When middle layer TSR was lower than 88.3% and pretreatment IRI was higher than 2.383 m/km with larger AESAL, the resurfacing thickness would probably be the thickest. The two models built in this paper provided probabilistic estimation of maintenance probability and explored key factors together with their critical split points for resurfacing thickness, which could be regarded as an alternative decision-making tool for pavement engineers.

Cost-Effectiveness of Crack Sealing Materials and Techniques for Asphalt Pavements

2000 ◽  
Vol 1697 (1) ◽  
pp. 31-40 ◽  
Author(s):  
David R. Johnson ◽  
Reed B. Freeman ◽  
James R. Stevenson
Keyword(s):  
Pavement Management ◽  
Asphalt Pavements ◽  
First Year ◽  
Transverse Cracks ◽  
Pavement Management System ◽  
Crack Sealing ◽  
Surface Distress ◽  
Accepted Practice ◽  
Project History ◽  
Longitudinal Cracks

Sealing or filling cracked asphalt pavements to prevent the intrusion of water into the pavement structure has long been an accepted practice of the Montana Department of Transportation. Attempts were made to establish the most economical and effective method of sealing pavement cracks for Montana and to better determine crack sealing’s role within Montana’s pavement management system (PvMS). Four experimental test sites were constructed within crack-sealing projects. The test sites included combinations of nine sealant materials and six sealing techniques. Monitoring of the test sites includes visual inspections (for all of the sites) and nondestructive structural readings and surface distress identification under Montana’s PvMS (for one test location). One expectation of the inspections is an estimation of crack sealing’s useful life. Information on project history and project methodology, including the methods used for evaluating the performance of sealed cracks, is presented. Interim conclusions are presented, most of which have been obtained from the two test sites that have been in service for 3 years. Similar performance has been observed for all materials with ASTM D5329 cone penetrations in excess of 90. In general, routing of transverse cracks improved the performance of the sealants. Routing did not appear necessary for centerline longitudinal cracks. Observations from the first year of service for the most recent installation are noted. Notably, router operators appear to prefer the shallow reservoir configuration over square reservoirs. The highest failure rates occur during the coldest period of the year, and much of this distress “heals” after exposure to the summer heat.

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 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 The Skid Resistance Evaluation on the Longterm Monitored Road Sections

2014 ◽  
Vol 10 (2) ◽  
pp. 66-72
Author(s):  
Peter Kotek ◽  
Matúš Kováč ◽  
Martin Decký
Keyword(s):  
Surface Characteristics ◽  
Pavement Management ◽  
Point Of View ◽  
Traffic Load ◽  
Skid Resistance ◽  
Pavement Management System ◽  
Test Conditions ◽  
Measured Speed

Abstract The article deals with the analysis of the skid resistance results measured at the long-term monitored road sections in Slovakia in perspective of the possibility of the deterioration functions determination for the purposes of the pavement management system. There were 11 road sections evaluated, on which have been surface characteristics measured since 1998. The focus was on the evaluation of the longitudinal friction coefficient Mu measured by device Skiddometer BV11, which is the property of the Slovak Road Administration. Beside the Mu parameter, the test conditions were observed and evaluated, as well (measured speed, air and surface temperature, type of asphalts of the wearing course, traffic load, and the season (spring, autumn, respectively) in which the skid resistance measurements were performed. In conclusion, there was reviewed a presumption of the possibility to determine a deterioration functions for skid resistance in point of view the quality of the data, which have been collected on the Slovak long-term monitored road sections.

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