Abstract
Due to traffic loading and environmental conditions, pavements deteriorate over time. Other factors that may affect pavement performance are material properties and construction practices. However, it is important for road users to have the road network at a certain acceptable level. Typically, pavement functional indices, such as Pavement Condition Index (PCI), have been conspicuously utilized to determine which type of pavement maintenance/rehabilitation (M/R) should be applied for a specific pavement of a certain condition. Many researchers concluded that pavement surface condition, in some cases, does not reflect the condition of the underlying layers. Others argued that the treatment decisions based on the functional indices are sometimes overestimated or underestimated. This has galvanized many researchers to consider other indices, among of them are structural indices such as Structural Condition Index (SCI). Many studies recapped that the structural indices lead to more effective M/R decisions. Thus the current research aims to propose a more practical procedure for selecting the most appropriate M/R decision based not only on the functional indices as many highway agencies do but also on the existing structural condition of the degenerated pavement. To develop such procedure, data from 8 Long Term Pavement Performance pavement test sections were evaluated functionally and structurally and the decision was taken based on both functional and structural conditions. The proposed procedure is found to yield reasonable M/R decisions as compared to the use of either one of the indices.
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References
Park, K., Thomas, N.E., Wayne Lee, K.: Applicability of the international roughness index as a predictor of asphalt pavement condition. J. Transp. Eng. 133(12), 706–709 (2007)
Elbagalati, O., Elseifi, M., Gaspard, K., Zhang, Z.: Development of the pavement structural health index based on falling weight deflectometer testing. Int. J. Pavement Eng. 19, 1–8 (2016)
Tarefder, R.A., Rahman, M.M., Stormont, J.C.: Alternatives to PCI-based maintenance solutions for airport pavements. In: Transportation Research Board, 94thAnnual Meeting, Washington, DC (2015)
Rada, G.R., Visintine, B.A., Hicks, R.G., Cheng, D., Van, T.: Emerging tools for use in pavement preservation treatment selection. In: Transportation Research Board, 93rdAnnual Meeting, Washington, DC (2014)
Bryce, J., Flintsch, G., Katicha, S., Diefenderfer, B.: Develo** a network-level structural capacity index for asphalt pavements. J. Transp. Eng. 139(2), 123–129 (2013)
Chowdhury, T., Shekharan, R., Diefenderfer, B.: Implementation of network-level falling weight deflectometer survey. Transp. Res. Record J. Transp. Res. Board 2304, 3–9 (2012)
Zaghloul, S., He, Z., Vitillo, N., Kerr, J.: Project sco** using falling weight deflectometer testing: new jersey experience. Transp. Res. Rec., J. Transp. Res. Board 1643, 34–43 (1998)
Zhang, Z., Claros, G., Manuel, L., Damnjanovic, I.: Evaluation of the pavement structural condition at network level using falling weight deflectometer (FWD) data. In: Transportation Research Board, 82ndAnnual Meeting, Washington, DC (2003)
Virginia Department of Transportation. State of the Pavement 2006. Richmond (2006)
Bryce, J.: A pavement structural capacity index for use in network-level evaluation of asphalt pavements, M.Sc. thesis, Virginia Tech, Blacksburg, VA (2012)
Flora, W., Development of a structural index for pavement management: an exploratory analysis, M.Sc. thesis, Purdue University, West Lafayette, IN (2009)
Nam, B.H., An, J., Kim, M., Murphy, M.R., Zhang, Z.: Improvements to the structural condition index (SCI) for pavement structural evaluation at network level. Int. J. Pavement Eng. 17(8), 680–697 (2016)
Abd El-Raof, H.S., Abd El-Hakim, R.T., El-Badawy, S.M., Afify, H.A.: Structural number prediction for flexible pavements based on falling weight deflectometer data. In: Transportation Research Board, 97ndAnnual Meeting, Washington, DC (2018a)
Abd El-Raof, H.S., Abd El-Hakim, R.T., El-Badawy, S.M., Afify, H.A.: Structural number prediction for flexible pavements using the long term pavement performance data. In: IJPE (2018b). https://doi.org/10.1080/10298436.2018.1511786
AASHTO, Guide for Design of Pavement Structures, Washington, DC (1993)
ASTM, D. Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys, West Conshohocken, Pennsylvania, 6433-07 (2008)
Shahin, M.Y., Walter, J.A.: Pavement maintenance management for roads and streets using the PAVER system. Technical Report M-90/05, U.S. Army Corps of Engineers, Washington, DC (1990)
LTPP InfoPave (2019). http://www.infopave.com/
El-Raof, H.S., El-Hakim, R.T., El-Badawy, S.M., Afify, H.A.: Simplified closed-form procedure for network-level determination of pavement layer moduli from falling weight deflectometer data. J. Transp. Eng., Part B: Pavements 144(4), 04018052 (2018)
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Abd El-Raof, H.S., Abd El-Hakim, R.T., El-Badawy, S.M., Afify, H.A. (2020). General Procedure for Pavement Maintenance/Rehabilitation Decisions Based on Structural and Functional Indices. In: Badawy, S., Chen, DH. (eds) Recent Developments in Pavement Engineering. GeoMEast 2019. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-030-34196-1_2
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DOI: https://doi.org/10.1007/978-3-030-34196-1_2
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