Immediate effects of some corrective maintenance interventions on flexible pavements

Qiao, Yaning; Dawson, Andrew; Parry, Tony; Flintsch, Gerardo W.

Abstract

Different maintenance interventions have different ability to address distresses on flexible pavements. Understanding the maintenance effects can benefit pavement maintenance decision-making. In this study, the immediate maintenance effects on roughness and rutting of three interventions including overlay, overlay with an additional base layer and mill and fill were studied and compared. A method was introduced to validate maintenance effect models, using the pavement management information from Virginia Department of Transportation. The method included a data mining process to extract data and apply regression analysis of maintenance effect models. The outliers in the analysis were detected and removed using the method of Cook’s distance. It was found that the immediate maintenance effects of overlay with base layer were greatest and mill and fill was least when treating pavements with moderate roughness (50–100 in/mi (≈ 0.8–1.6 m/km)). However, mill and fill was more useful for treating pavements with high roughness (>100 in/mi (≈1.6 m/km)). Furthermore, suggestions were proposed on data collection for road authorities to improve the prediction of maintenance effects.

Citation

Qiao, Y., Dawson, A., Parry, T., & Flintsch, G. W. (2018). Immediate effects of some corrective maintenance interventions on flexible pavements. International Journal of Pavement Engineering, 19(6), 502-508. https://doi.org/10.1080/10298436.2016.1176164

• Journal Article Type: Article
• Acceptance Date: Mar 15, 2016
• Online Publication Date: May 4, 2016
• Publication Date: Jun 30, 2018
• Deposit Date: May 21, 2016
• Publicly Available Date: May 21, 2016
• Journal: International Journal of Pavement Engineering
• Print ISSN: 1029-8436
• Electronic ISSN: 1477-268X
• Publisher: Routledge
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 6
• Pages: 502-508
• DOI: https://doi.org/10.1080/10298436.2016.1176164
• Keywords: Maintenance effect; Pavement management system; Data mining; Model calibration; Regression analysis
• Public URL: https://nottingham-repository.worktribe.com/output/944200
• Publisher URL: http://dx.doi.org/10.1080/10298436.2016.1176164
• Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Pavement Engineering on 4th May 2016, available online: http://www.tandfonline.com/doi/full/10.1080/10298436.2016.1176164.
• Contract Date: May 21, 2016