An Integrated Analytic Hierarchy Process: Markov Model for Rating Condition and Predicting Service Life of Retaining Walls

Once ignored, retaining wall management has been gaining significant attention from various transportation agencies due to overall deterioration of infrastructure systems in the United States. To meet the requirements under the Moving Ahead for Progress in the 21st Century Act (MAP-21), many transportation agencies have developed retaining wall management programs covering condition rating and service life prediction of walls. This research seeks to develop a systematic approach that integrates analytic hierarchy process (AHP) and Markov model for rating the current and predicting the future conditions of retaining walls. An overall rating score is achieved through hierarchical configuration and pairwise comparison of retaining wall elements using AHP that respects engineering principles by considering importance weights. This aggregated score, together with transition probabilities, will then be passed on to the Markov model for retaining wall future condition rating and service life prediction. As a pilot study, the proposed approach is applied to selected retaining walls in Tennessee to validates its feasibility. The comparison of service life predictions by the statistical exponential regression and the integrated AHP-Markov approaches indicates the need for retaining wall condition rating database.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 12p

Subject/Index Terms

Filing Info

  • Accession Number: 01852501
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-22-00943
  • Files: TRIS, TRB, ATRI
  • Created Date: Jul 21 2022 1:34PM