Concrete pavement surface textures and multivariables frictional performance analysis: a North American case study

Concrete pavements are well known for long structural life. The major challenge, however, is to provide a durable surface with adequate skid resistance for economy and safety. This paper examines the long-term frictional performance of eight different surface textures on 197 sections of concrete pav...

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Bibliographic Details
Published inCanadian journal of civil engineering Vol. 35; no. 7; pp. 727 - 738
Main Authors Ahammed, M. Alauddin, Tighe, Susan L
Format Journal Article
LanguageEnglish
Published Ottawa, ON National Research Council of Canada 01.07.2008
NRC Research Press
Canadian Science Publishing NRC Research Press
Subjects
antidérapance
Applied sciences
Buildings. Public works
chaussées en béton
Concrete pavements
Exact sciences and technology
longevity
longévité
modèles de rendement
Pavements, Concrete
Performance evaluation
performance models
Properties
Railroad accidents & safety
Road test: methods, equipments and results
skid resistance
surface textures
textures de surface
Transportation infrastructure
North America
America
Canada
Case study
Performance evaluation
Data analysis
Friction
Concrete construction
Skidding resistance
Rigid pavement
Durability
Road test
Surface analysis
Texture
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Summary:Concrete pavements are well known for long structural life. The major challenge, however, is to provide a durable surface with adequate skid resistance for economy and safety. This paper examines the long-term frictional performance of eight different surface textures on 197 sections of concrete pavements within the long-term pavement performance (LTPP) program database. Analysis shows that tined and (or) grooved textures maintain consistently higher skid resistance over time and the surface friction of concrete pavements is less sensitive to ambient temperature. Cumulative traffic passes are more sensitive to longevity of friction than the cumulative axle loads. Five alternative models have also been successfully developed for prediction of the long-term skid resistance of concrete pavements as a function of texture type, cumulative traffic passes, speed, and concrete compressive strength. These models were shown to be statistically significant at 95% confidence levels with reasonable prediction accuracy.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0315-1468
1208-6029
DOI:10.1139/L08-025