Risk Assessment Methodology for Identifying the Moisture Damage Potential in Flexible Pavements

Increased traffic loading causes road pavements to deteriorate faster, thereby creating increased demand on maintenance budgets. Moisture, in combination with traffic loading, has long been considered as one of the major deteriorating factors of flexible road pavements. The extent of moisture damage includes rutting, differential settlement related cracking, stripping, pumping, raveling, and subgrade failure. The network level assessment of moisture damage has been gaining attention among researchers and practitioners alike. This is of particular interest in Performance Specified Maintenance Contracts (PSMC), where road controlling authorities have diverted major risks of failure towards the contractor or network manager. Consequently, this paper focuses on the development of a risk assessment method for identifying moisture damage potential in flexible pavements. Risk assessment is used in the construction, manufacturing and process industries where a single failure has a severe impact on the project outcome or production. The proposed Moisture Damage Risk Assessment (MDRA) methodology has been formulated using the falling weight deflectometer and other test data available from a PSMC network in New Zealand. The MDRA approach includes risk analysis using the fuzzy logic model, fault tree analysis and risk based maintenance techniques. The proposed MDRA will be validated through a process involving multivariate and trend analysis of moisture damage data. These data will be collected from the PSMC network and the Long Term Pavement Performance (LTPP) test sites in New Zealand. MDRA will be able to identify the risk of failure of road sections in the network due to moisture damage potential.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFD10 Pavement Management Systems.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Mia, Mohammad Nasir Uddin
    • Henning, Theuns F P
    • Costello, Seosamh B
    • Foster, Glenn
  • Conference:
  • Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01518131
  • Record Type: Publication
  • Report/Paper Numbers: 14-3472
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 11 2014 12:07PM