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dc.contributorVirginia Tech. Virginia Tech Transportation Instituteen_US
dc.contributorUniversity of Auckland. Department of Civil and Environmental Engineeringen_US
dc.contributorFerne, Brianen_US
dc.contributor.authorKodipply, Sachien_US
dc.contributor.authorIngham, Jason M.en_US
dc.contributor.authorHenning, Theunis F. P.en_US
dc.date.accessioned2015-08-11T18:46:26Z
dc.date.available2015-08-11T18:46:26Z
dc.date.issued2015-06-04en_US
dc.identifier.citationKodipply, S., Ingham, J. M., & Henning, T. F. P. (2015, June). Development of a performance prediction model to manage flushing of sprayed seal pavements. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session5/Kodippily.pdfen_US
dc.identifier.urihttp://hdl.handle.net/10919/56398
dc.description.abstractFlushing is a defect which has a damaging effect on the functional performance of sprayed seal (chip seal) pavements. Accurate understanding of flushing can have a significant impact when predicting the future performance and maintenance needs of pavements. The reported study was conducted to develop a prediction model to effectively identify, asses and manage flushed pavements. The study also aimed to develop a decision-making tool for treating flushed pavements. This study utilized pavement data from New Zealand's Long-Term Pavement Performance programme and data analysis was conducted to develop a model to predict the flushing potential of chip seal pavements. Additionally, the study conducted laboratory testing on pavement samples from flushed chip seal pavements. The conducted tests included wheel tracking and rutting measurements, air void volume measurements, as well as computed tomography scanning and image analysis. The laboratory test results were used to supplement the outputs of the performance prediction model in detecting the mechanisms that were causing flushing. The outcomes of this study included a model that was able to predict a) the probability of flushing initiation, and b) the quantity of flushing on a pavement. This model was statistically robust where the flushing initiation model had an accuracy of 76%. The flushing prediction model and the laboratory results were incorporated into an overall pavement assessment guideline for flushed pavements. This assessment guideline will aid pavement practitioners with accurate identification of flushing on a pavement network as well as with selecting the best method of maintenance treatment for flushed chip seal pavements.en_US
dc.format.extent12 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen_US
dc.subjectFlushingen_US
dc.subjectChipsealen_US
dc.subjectSprayed sealen_US
dc.subjectPerformance predictionen_US
dc.titleDevelopment of a Performance Prediction Model to Manage Flushing of Sprayed Seal Pavementsen_US
dc.title.alternativeA Performance Prediction Model to Manage Flushing of Sprayed Seal Pavementsen_US
dc.typePresentationen_US
dc.description.notesPresented during Session 5: Performance Prediction I, moderated by Raja Shekharan, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VA.en_US
dc.description.notesIncludes conference paper and PowerPoint slides.en_US
dc.identifier.urlwww.apps.vtti.vt.edu/PDFs/icmpa9/session5/Kodippily.pdfen_US
dc.date.accessed2015-07-06en_US
dc.type.dcmitypeTexten_US


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