Stochastic nonlinear analysis of concrete structures - Part III : application to bridges

A complex approach to the reliability assessment of reinforced concrete structures is introducedand demonstrated on a real existing bridge structure. The paper follows the theoretical Part I of the paper and presents mainly applications. The reliability index of a structure decreases during its life cycle due to material degradation. A retrofitting to the desired reliability level should be performed. This procedure is modeled by advanced life-cycle computer simulation. The main feature of the presented approach is the nonlinear finite element analysis of the structure employed for the realistic assessment of structural behavior.Asuitable technique of statistical sampling, which allows relatively small numbers of simulations, is used in this context. Different degradation scenarios are analyzed concerning their effect on the structures reliability progression. These studies give a basis for future models including analytical deterioration models combined with in situ monitoring, used to launch the degradation process and the inverse damage detection. Finally the presented methodology for advanced life-cycle analysis will be integrated in the innovative decision-making tool that supports maintenance planning of engineering structures.A complex approach to the reliability assessment of reinforced concrete structures is introducedand demonstrated on a real existing bridge structure. The paper follows the theoretical Part I of the paper and presents mainly applications. The reliability index of a structure decreases during its life cycle due to material degradation. A retrofitting to the desired reliability level should be performed. This procedure is modeled by advanced life-cycle computer simulation. The main feature of the presented approach is the nonlinear finite element analysis of the structure employed for the realistic assessment of structural behavior.Asuitable technique of statistical sampling, which allows relatively small numbers of simulations, is used in this context. Different degradation scenarios are analyzed concerning their effect on the structures reliability progression. These studies give a basis for future models including analytical deterioration models combined with in situ monitoring, used to launch the degradation process and the inverse damage detection. Finally the presented methodology for advanced life-cycle analysis will be integrated in the innovative decision-making tool that supports maintenance planning of engineering structures.P