Utilizing the seasonal variations of skid resistance to plan pavement preventive maintenance

Author(s):  
C Plati ◽  
K Georgouli ◽  
A Loizos
Author(s):  
Andrew Fried ◽  
Haritha Malladi ◽  
Cassie Castorena

Crack sealing is often a cost-effective preventive maintenance strategy for prolonging pavement service life when applied to pavements in relatively good condition. Crack sealing is generally ineffective for extending the life of heavily cracked pavements. However, crack sealing is often applied to pavements with extensive cracking. The application of crack sealing to pavements with extensive cracking can pose a skid resistance hazard. This study investigates the relationship between the amount and distribution of crack sealant application and pavement skid resistance. Locked-Wheel Skid Tester (LWST) testing was conducted on several pavement projects in North Carolina, United States, with varying amounts and patterns of crack sealant. Images of the locations of LWST testing were obtained and processed to determine the percentage of the pavement surface area covered by crack sealant. A relationship between the percentage of the wheel path covered by crack sealant and LWST results was established that demonstrates the application of high amounts of crack sealant to the wheel path can pose safety hazards. The effect of crack sealant on pavement skid resistance is a function of the existing pavement’s frictional characteristics. The results of this study highlight the need for the development of crack sealant specification provisions to avoid the loss of skid resistance.


2015 ◽  
Vol 17 (2) ◽  
pp. 477-486 ◽  
Author(s):  
Wouter van Bijsterveld ◽  
Miguel A. del Val

Author(s):  
Joshua Qiang Li ◽  
Dominique Pittenger ◽  
Kelvin Wang ◽  
Guangwei Yang ◽  
Musharraf Zaman ◽  
...  

Skid resistance of pavements plays a significant role in roadway safety. Preventive maintenance (PM) treatments have been used to restore pavement condition and retard future deterioration. As aggregate is the main component of such treatments, this study assessed the skid resistance of pavements in Oklahoma following PM treatment application to evaluate whether skid resistance is maintained or improved and economics are optimized, and presents a methodology to assist pavement engineers manage skid resistance. The 13 commonly used sources of aggregates in Oklahoma were acquired for aggregate morphological characterization in the laboratory in relation to shape, angularity, and surface texture-related index properties, using the Aggregate Imaging System before and after Micro-Deval abrasion. Accordingly, a systematic experimental design was developed to include 45 field testing sites constructed with typical Oklahoma PM treatments and the common aggregate sources. Multiple rounds of field data collection were performed during a 3-year period using the most recent three-dimensional (3D) laser imaging technology for pavement surface characteristics and a Grip Tester for skid resistance. The impacts of aggregate properties and pavement surface characteristics on the skid resistance were investigated and used to develop statistical deterioration models. Subsequently, life cycle cost analysis and performance-based sensitivity analysis were conducted using the developed deterioration model. This study presents a detailed analysis of aggregate characteristics and its relationship to skid resistance of pavements. An understanding of these relationships and application of the presented methodology can result in improvements in pavement safety with enhanced stewardship of financial resources.


2017 ◽  
Vol 44 (5) ◽  
pp. 358-366 ◽  
Author(s):  
Qiang Joshua Li ◽  
You Zhan ◽  
Guangwei Yang ◽  
Kelvin C.P. Wang ◽  
Chaohui Wang

Various preventive maintenance (PM) treatments have been employed to restore pavement skid resistance for enhanced safety. This paper investigates the effectiveness of PM treatments using panel data analysis (PDA). Panel data analysis investigates the differences of cross-sectional information among treatments, but also the time-series changes within each treatment over time. Panel data with multiple years of friction data for four treatments (thin overlay, slurry seal, crack seal, and chip seal) at various climate, traffic, and pavement conditions are obtained from 255 long term pavement performance (LTPP) testing sections. Both fixed- and random-effects models are developed to evaluate pavement skid resistance performance and to identify the most influencing factors. Results from the PDA models are compared to those from traditional ordinary regression models. Slurry seal is demonstrated to be the most effective treatment. Five factors (precipitation, freezing index, humidity, traffic, and pavement age) are identified to be significant for pavement friction. Fixed-effects panel model is selected for the development of friction prediction models. This study not only demonstrates the capability of PDA for analyzing friction data with cross-sectional and time-series characteristics, but also can assist engineers in selecting the most effective PM treatments for the desired level of skid resistance to reduce traffic crashes.


1985 ◽  
Vol 49 (6) ◽  
pp. 445-447
Author(s):  
E Solomon ◽  
D Stoll
Keyword(s):  

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