An analytic hierarchy process and Markov chain based approach for condition rating and dynamic service life prediction of retaining walls

Retaining walls are typically considered auxiliary assets within the global transportation asset management scheme. However, failure cases to this structure class have attracted more attention to retaining wall assets. The possibility of failure also helps validate Moving Ahead for Progress in the 21st Century (MAP-21) requirements that transportation agencies develop asset management plans. Consequently, this thesis represents the development of a framework that combines the Analytic Hierarchy Process (AHP) and Markov Chain to rate and predict the future condition of retaining walls respectively. Based on the Field Survey of candidate retaining walls, the research uses AHP for hierarchical configuration and pair-wise comparison of retaining wall elements (and sub-elements) – to generate relative weights. This process of relative weighting ultimately lends towards individual wall condition rating scores. This score, together with transition probabilities derived from historical condition data forms the basis of the dynamic service life prediction using the Markov chain.

Grantor dc:publisher

University of Tennessee at Chattanooga

Year dc:date.available

2022

Author dc:creator

• Lawal, Abdulazeez

Contributors dc:contributor

• Wu, Weidong
• Owino, Joseph; Fomunung, Ignatius; Onyango, Mbakisya
• College of Engineering and Computer Science

• Asset-liability management
• Mathematical models
• Retaining walls

Licence

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English, eng

Repository record dc:identifier

https://scholar.utc.edu/theses/731

OAI identifier oai:identifier

oai:scholar.utc.edu:theses-1897