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dc.contributorVirginia Tech. Virginia Tech Transportation Instituteen_US
dc.contributorESC Inc.en_US
dc.contributorUnited States. Federal Highway Administrationen_US
dc.contributorTurner-Fairbank Highway Research Centeren_US
dc.contributorChalman, Dougen_US
dc.contributor.authorThyagarajan, Senthilmuruganen_US
dc.contributor.authorSivaneswaran, Nadarajahen_US
dc.contributor.authorPetros, Katherineen_US
dc.date.accessioned2015-08-11T18:46:34Z
dc.date.available2015-08-11T18:46:34Z
dc.date.issued2015-06-04en_US
dc.identifier.citationThyagarajan, S., Sivaneswaran, N., & Petros, K. (2015, June). Incorporating traffic speed deflection data in pavement management decision making for flexible pavements. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session14/Thyagarajan.pdfen_US
dc.identifier.urihttp://hdl.handle.net/10919/56442
dc.description.abstractSystematic pavement condition evaluation and development of an optimized set of pavement treatment strategies are two key tasks in the pavement management process that assists in making informed decisions on future construction actions. Current State Highway Agency's pavement management systems are primarily based on surface condition data, and surface cracking is mainly used as an indicator of the pavement structural condition. However, with effective pavement preservation activities that intervene early to preserve and extend the life of pavements and increasingly thicker long-life pavements, the surface cracks can no longer be a reliable indicator of structural condition of the pavement structure. This study envisions the use of data from Traffic Speed Deflection Devices (TSDD) in network level structural assessment and optimizing the pavement treatment strategies for flexible pavements within a modern pavement management framework. The methodology used the tensile strain at the bottom of the asphalt layer predicted from TSDD measurements to evaluate structural deterioration well before the occurrence of surface cracks, enabling more optimum treatment intervention. Mechanistic analyses were used to predict treatment benefits as a function of time and pavement condition at the time of application. The methodology allows the pavement engineer to identify an optimized series of treatment types and their timing over an analysis horizon that minimizes the life cycle cost while maintaining an above acceptable level of service. Finally the study illustrates the effectiveness of Remaining Service Interval (RSI) concept for consistent reporting of future construction needs based on optimum time remaining until a defined treatment type.en_US
dc.format.extent14 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen_US
dc.titleIncorporating Traffic Speed Deflection Data in Pavement Management Decision Making for Flexible Pavementsen_US
dc.title.alternativeIncorporating Traffic Speed Deflection Data in PMS Decision Making for Flexible Pavementsen_US
dc.typePresentationen_US
dc.description.notesPresented during Session 14: Decision Making II, moderated by Brian Ferne, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VAen_US
dc.description.notesIncludes conference paper and PowerPoint slides.en_US
dc.identifier.urlwww.apps.vtti.vt.edu/PDFs/icmpa9/session14/Thyagarajan.pdfen_US
dc.date.accessed2015-07-07en_US
dc.type.dcmitypeTexten_US


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