Critical Assessment of Measuring Concrete Joint Faulting Using 3D Continuous Pavement Profile Data
Publication: Journal of Transportation Engineering
Volume 138, Issue 11
Abstract
Faulting has traditionally been collected by using manual methods, which are labor intensive, time-consuming, and hazardous to workers and drivers. Therefore, alternative methods for effectively and safely collecting faulting data are needed. With emerging laser technology originally designed for crack detection, high-resolution, full lane-width coverage, three-dimensional (3D) continuous pavement profile data can now be acquired. This paper critically assesses the feasibility of using this 3D continuous pavement profile data for measuring faulting with a special focus on accuracy and repeatability. Controlled field tests were conducted to evaluate the accuracy for faulting in different ranges. Field tests were conducted at highway speeds on I-16 in Georgia to evaluate the repeatability and feasibility of the proposed method. Results show the proposed method can estimate faulting with an average error of less than 1 mm compared with those measured using the Georgia fault meter, and it can achieve reasonable repeatability with a standard deviation less than 1 mm in repeated runs at different highway speeds. Two tests have demonstrated that it is feasible to collect faulting data using 3D continuous pavement profile data. Recommendations for future research are also discussed.
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Acknowledgments
The writers would like to acknowledge the assistance of Mr. Curtis Grovner, the liaison of concrete condition evaluation of the Georgia Department of Transportation (GDOT) for collecting the faulting data on I-16 in Georgia. The writers would also like to thank Mr. Abdenour Nazef from the Florida Department of Transportation (FDOT), Mr. James Watkins from the Mississippi Department of Transportation, and Mr. Rick Miller from the Kansas Department of Transportation (KDOT) for their inputs. In addition, the writers would like to thank the support provided by the Program for Changjiang Scholars and Innovative Research Team in University (No. 1050) for exchanging current Chinese video log image data collection practices.
References
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 138 • Issue 11 • November 2012
Pages: 1291 - 1296
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Jun 22, 2011
Accepted: Mar 30, 2012
Published online: Apr 2, 2012
Published in print: Nov 1, 2012
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