Development of a Pavement Overall Deterioration Index (Case Study: Iran)

Document Type : Research Article

Authors

1 Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran.

2 Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.

Abstract

The main core of pavement management systems is pavement evaluation. A more sophisticated index is essential to evaluate a pavement so that authorities can optimize budget allocation for maintenance and rehabilitation activities. Several single and combined indices have been applied to assess pavement conditions in developed countries based on a comprehensive pavement condition database. However, in developing countries, the lack of an extensive pavement condition database leads to insufficient attempts on developing such an index. As a result, the budget cannot be assigned appropriately on pavement preservations. This research aims to develop a combined pavement condition index using the weighted summation of the pavement condition index, international roughness index, and central deflection of falling weight deflectometer testing device. The weights are attained through the application of the analytical hierarchy process via a questionnaire completed by a panel of experts. The data captured from the questionnaire was entered into the expert choice software. Results indicate that the central deflection as a representative of structural adequacy of pavement has the highest weight (0.491). The other indices were ranked as the second and third criteria in evaluating the pavement performance with the weights of 0.291 and 0.218, respectively, which make logical and engineering sense over the case study. The combined index would express the overall condition of pavement which could be applied in pavement maintenance planning.

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Main Subjects

References

  1. Y. Shahin, Pavement management for airports, roads, and parking lots, 1994.
  2. Jesus, S. Akyildiz, D.R. Bish, D.A. Krueger, Network-level optimization of pavement maintenance renewal strategies, Advanced Engineering Informatics, 25(4) (2011) 699-712.
  3. Tabatabaee, A. Kavussi, F. Moghdas Nejad, Pavement management system framework in Iran, Transportation research center, Tehran, Iran, 2008.
  4. U. Shah, S. Jain, D. Tiwari, M. Jain, Development of overall pavement condition index for urban road network, Procedia-Social and Behavioral Sciences, 104 (2013) 332-341.
  5. Chen, Q. Dong, H. Zhu, B. Huang, Development of distress condition index of asphalt pavements using LTPP data through structural equation modeling, Transportation Research Part C: Emerging Technologies, 68 (2016) 58-69.
  6. M. Shiyab, Optimum use of the flexible pavement condition indicators in pavement management system, Curtin University, 2007.
  7. Cary, The pavement serviceability-performance concept, HRB Bulletin, 250 (1960).
  8. S. Army, Pavement Maintenance Management, Technical Manual TM 5-623, 1982.
  9. Sayers, T. Gillespie, C. Queiroz, The international road roughness experiment: a basis for establishing a standard scale for road roughness measurements, Transportation Research Record, 1084 (1986) 76-85.
  10. Zhang, L. Manuel, I. Damnjanovic, Z. Li, Development of a new methodology for characterizing pavement structural condition for network-level applications, Texas Dept. of Transportation, Austin, TX, (2003).
  11. O. Owolabi, O.M. Sadiq, O.S. Abiola, Development of performance models for a typical flexible road pavement in Nigeria, International Journal for Traffic and Transport Engineering, 2(3) (2012) 178-184.
  12. The Ohio Department of Transportation Office of Research & Development Executive Summary Report, 2005.
  13. Zhou, L. Wang, Analysis of flexible pavement distresses on IRI model, Pavements and Materials: Modeling, Testing, and Performance, 2009, pp. 150-160.
  14. Papagiannakis, N. Gharaibeh, J. Weissmann, A. Wimsatt, Pavement scores synthesis, Texas Transportation Institute, 2009.
  15. ASTM, Standard practice for roads and parking lots pavement condition index surveys, (2011).
  16. A. Arhin, L.N. Williams, A. Ribbiso, M.F. Anderson, Predicting pavement condition index using international roughness index in a dense urban area, Journal of Civil Engineering Research, 5(1) (2015) 10-17.
  17. Zhang, G. Claros, L. Manuel, I. Damnjanovic, Evaluation of the pavement structural condition at network level using falling weight deflectometer (FWD) data, in: 82nd Transportation Research Board meeting, Washington, DC, USA, Citeseer, 2003.
  18. Murphy, Z. Zhang, Validation and implementation of the structural condition index (SCI) for network-level pavement evaluation, No. FHWA/TX-11/5-4322-01-1, (2011).
  19. Park, N.E. Thomas, K. Wayne Lee, Applicability of the international roughness index as a predictor of asphalt pavement condition, Journal of Transportation Engineering, 133(12) (2007) 706-709.
  20. Vidya, S.M. Santhakumar, S. Mathew, Estimation of IRI from PCI in construction work zones, International Journal on Civil and Environmental Engineering, 2(1) (2013) 1.
  21. B. M. Abbasghorbani, E. Shurmoyej, A. Bamdad Ziksari, Correlation of pavement condition index with international roughness index (Case study: Primary roads located in Qom and Markazi provinces), Proceeding of Seventh National Conference on Asphalt and Binder, Tehran, Iran, 2015.
  22. -D. Lin, J.-T. Yau, L.-H. Hsiao, Correlation analysis between international roughness index (IRI) and pavement distress by neural network, in: 82nd Annual Meeting of the Transportation Research Board, 2003, pp. 12-16.
  23. Chandra, C.R. Sekhar, A.K. Bharti, B. Kangadurai, Relationship between pavement roughness and distress parameters for Indian highways, Journal of transportation engineering, 139(5) (2013) 467-475.
  24. Mubaraki, Highway subsurface assessment using pavement surface distress and roughness data, International Journal of Pavement Research and Technology, 9(5) (2016) 393-402.
  25. Zaghloul, Z. He, N. Vitillo, J. Brian Kerr, Project scoping using falling weight deflectometer testing: New Jersey experience, Transportation Research Record, 1643(1) (1998) 34-43.
  26. F. Flora, Development of a structural index for pavement management: An exploratory analysis, Purdue University, 2009.
  27. Bryce, G. Flintsch, S. Katicha, B. Diefenderfer, Developing a network-level structural capacity index for asphalt pavements, Journal of transportation engineering, 139(2) (2013) 123-129.
  28. Juang, S. Amirkhanian, Unified pavement distress index for managing flexible pavements, Journal of transportation engineering, 118(5) (1992) 686-699.
  29. Zhang, N. Singh, W.R. Hudson, Comprehensive ranking index for flexible pavement using fuzzy sets model, Transportation Research Record, (1397) (1993).
  30. N. Shoukry, D.R. Martinelli, J.A. Reigle, Universal pavement distress evaluator based on fuzzy sets, Transportation research record, 1592(1) (1997) 180-186.
  31. G. Gharaibeh, Y. Zou, S. Saliminejad, Assessing the agreement among pavement condition indexes, Journal of Transportation Engineering, 136(8) (2010) 765-772.
  32. Tawalare, K.V. Raju, Pavement performance index for Indian rural roads, Perspectives in Science, 8 (2016) 447-451.
  33. Jato-Espino, E. Castillo-Lopez, J. Rodriguez-Hernandez, J.C. Canteras-Jordana, A review of application of multi-criteria decision making methods in construction, Automation in construction, 45 (2014) 151-162.
  34. L. Saaty, How to make a decision: the analytic hierarchy process, European journal of operational research, 48(1) (1990) 9-26.
  35. Saaty Thomas, The analytic Hierarchy process, New York: McGrow-Hill, (1980).
  36. ASTM, 6433-99, Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys, Annual Book of ASTM Standards, 4 (1999).
  37. ASTM, Standard test method for deflections with a falling-weight-type impulse load device, in, 2009.
  38. Cafiso, A. Di Graziano, Definition of homogenous sections in road pavement measurements, Procedia-Social and Behavioral Sciences, 53 (2012) 1069-1079.
  39. Zhang, M.R. Murphy, S. Peddibhotla, Implementation study of a structural condition index at the network level, Proceedings of the 8th International Conference on Managing Pavement Assets, Citeseer, 2011.
  40. AASHTO, Guide for design of pavement structures, American Association of State Highway and Transportation Officials, Washington, DC, (1993).
AUT Journal of Civil Engineering
Volume 5, Issue 3
September 2021
Pages 359-376

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