Integration of stochastic deterioration models with multicriteria decision theory for optimizing maintenance of bridge decks

Stochastic Modeling of Infrastructure Deterioration: an Application to Concrete Bridge Decks

This paper presents an application for the development of stochastic models to predict the deterioration of infrastructure facilities. The main objective is to demonstrate the capabilities and limitations of two types of models, namely state-based and time-based models, which will guide decision makers in selecting the most appropriate model type according to management needs and data availabil...

Beam & Shell Models for Composite Straight or Curved Bridge Decks with Intermediate Diaphragms & Assessment of Design Specifications

In this research effort, the generalized warping and distortional problem of straight or horizontally curved composite beams of arbitrary cross section, loading and boundary conditions is presented. An inclined plane of curvature is considered. Additionally, the stiffness of diaphragmatic plates has been introduced in the formulation in order to compare with the case where rigid diaphragms are ...

Assessing the Performance of Corroding RC Bridge Decks: A Critical Review of Corrosion Propagation Models

Corrosion of steel reinforcement is one of the most prevalent causes of reinforced concrete (RC) structures deterioration in chloride-contaminated environments. As a result, evaluating the impact of any possible corrosion-induced damages to reinforced concrete bridges strongly affects management decisions: such as inspection, maintenance and repair actions. The corrosion propagation phase is a ...

Stochastic deterioration, control and maintenance

Link function selection in stochastic multicriteria decision making models

A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data models it is known that the selection of the link function may have an impact on the model estimates. In particular, the selection of the probit link implies an assumption that model error terms are normally distributed and...