BMS

Determination of Markov Transition Probabilities to be Used in Bridge Management from Mechanistic-Empirical Models

Many bridge management systems use Markov models to predict the future deterioration of structural elements. This information is subsequently used in the determination of optimal intervention strategies and intervention programs. The input for these …

Estimating Markov Transition Probabilities for Reinforced Concrete Bridges based on Mechanistic-Empirical Corrosion Models

Investigation of the Use of a Weibull Model for the Deterioration of Optimal Road Link Intervention Strategies

In this paper, a probabilistic model for the determination of optimal intervention strategies (OISs) for a road link composed of multiple objects that are affected by gradual deterioration processes is investigated. The model is composed of a …

A statistical deterioration forecasting method using hidden Markov model for infrastructure management

The application of Markov models as deterioration-forecasting tools has been widely documented in the practice of infrastructure management. The Markov chain models employ monitoring data from visual inspection activities over a period of time in …

A Bayesian Estimation Method to Improve Deterioration Prediction for Infrastructure System with Markov Chain Model

In many practices of bridge asset management, life cycle costs are estimated by statistical de-terioration prediction models based upon monitoring data collected through inspection activities. In many applications, it is, however, often the case …

Stochastic Optimization Methods for Infrastructure Management with Incomplete Monitoring Data