Non-Linear Probabilistic Assessment of Existing Bridge Considering Deterioration

The integration of the non-linear finite element method with deterioration-based analysis represents a powerful approach for accurately simulating structural behaviors.However, conducting fully probabilistic analyses on large-scale models that incorporate numerous stochastic variables remains a significantly timeintensive task.As a result, structural designers and engineers frequently prefer semi-probabilistic methods, which significantly reduce the need for extensive non-linear computations.This paper concentrates on evaluating the reliability of an existing railway bridge constructed with cast-in steel beams.It employs an advanced numerical analysis through a non-linear finite element model, combined with established semiprobabilistic approaches, including the ECoV method and the newer eigen ECoV method.To accurately reflect the current state of the bridge's superstructure, the analysis models the carbonation of concrete and the ensuing corrosion of steel beams using analytical models that consider both the fundamental material properties and environmental factors.