Evaluating seismic reliability of Reinforced Concrete Bridge in view of their rehabilitation

Abstract

Abstract. Considering in this work, a simplified methodology was proposed in order to evaluate seismic vulnerability of Reinforced Concrete Bridge. Reliability assessment of stress limits state and the applied loading which are assumed to be random variables. It is assumed that only their means and standard deviations are known while no information is available about their densities of probabilities. First Order Reliability Method is applied to a response surface representation of the stress limit state obtained through quadratic polynomial regression of finite element results. Then a parametric study is performed regarding the influence of the distributions of probabilities chosen to model the problem uncertainties for Reinforced Concrete Bridge. It is shown that the probability of failure depends largely on the chosen densities of probabilities, mainly in the useful domain of small failure probabilities.

A Comprehensive Reliability Assessment Method for Existing Railway Bridges Based on Bayesian Theory

“…e damage to steel bridges is mainly fatigue damage, and most of the studies have been conducted at the member level for the mechanical properties but not at the overall bridge level [12,13]. In order to establish a more e cient assessment model for existing bridges, we turned our attention to Bayesian networks, which have been applied by many scholars to bridge reliability assessment [14][15][16][17][18], that can not only determine the state level of the bridge, but also applies the inspection data to update. However, the assessment system is not yet complete, and the assessment indexes are not perfect.…”