Fuzzy Markov development for buried transportation bridges: review of analysis and modeling technique

This study will review the Fuzzy Markov development for assessing the structural integrity of buried transportation bridges. In doing so, the appropriateness of Fuzzy Markov will be assessed, leading to the subsequent model. Such methodology is further supported via the utilization and evaluation of 30 buried transportation bridges using the developed Fuzzy Markov model. These structures were all within Victoria (Vic) and New South Wales (NSW), both Eastern states of Australia. Further, to successfully utilize Fuzzy Markov computation for buried structures, this research utilized a modified FuzzyStatProb. This research found not only did the Fuzzy Markov model accurately identify the state of the structure but also indicated the appropriate treatment regimes for these structures. It also showed interesting trends post assessment. Subsequently, through a developed Fuzzy Markov model this research found that, i) as the basis of structural resilience, specific matrices for age-dependent transition probability can be compiled using conditional survival probabilities in the various structural states; ii) as the basis of structural integrity, specific environmental and economic schemes can also be established based on inspection intervals, intervention systems and failure phases; iii) exact inspection and maintenance intervals can be scheduled to further prolong an asset's life; and iv) clear and early warning signs can also be formulated for immediate intervention when the structural integrity of the asset are indeed compromised. As a result, the model developed in this research can assist the relevant authorities to better manage their transportation structures. The model can act as the basis for reliability and performance analysis of buried transportation bridges for which early warning signs are relatively scarce.