01658087

Component

Sealed sawcut joints are a prevalent feature of jointed concrete pavement construction, which not only accommodate movement at the joint but theoretically should also prevent entry of moisture and incompressible debris. Presently, there is little or no definitive criteria for minimum sawcut joint cleanliness to ensure a durable bond between the sealant and the face of the joint well. There is a need of critical construction items for engineers to specify and for inspectors to determine if a sawcut joint is sufficiently clean for sealant installation in order to reduce the frequency of debonding failures. This paper reports on a new approach for inspection based on image analysis to characterize sawn surface cleanliness, with the ultimate aim of creating a database of roughness parameters which can serve as a basis for guidelines on minimum acceptable dirtiness levels at the time of sealant application. Images of different sawn surfaces were analyzed through the use of the Image J software where quantifiable surface characterization was obtained through the various parameters like roughness, profile height, skewness and kurtosis. Results indicated a decrease in roughness with an increase in dirtiness. The relationship of Image J parameters with dirtiness levels of joint surfaces was studied by varying the dirtiness level on different sawn surfaces. Implications of this study involve the relation of the image analysis parameters with bond strength and specification criteria to govern the quality of sealant installation under field conditions.

This paper was sponsored by TRB committee AFH50 Standing Committee on Concrete Pavement Construction and Rehabilitation.

18-05801

English

15p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Photos; References; Tables

Concrete pavements; Methodology; Pavement joints; Paving; Sawed joints

Construction; Highways; Pavements

Transportation Research Board Annual Meeting 2018 Paper #18-05801

TRIS, TRB, ATRI

Jan 8 2018 11:29AM