Probabilistic failure analysis, performance assessment, and sensitivity analysis of corroded reinforced concrete structures

A better understanding of the mechanical performance and failure modes corroded reinforced concrete (RC) structures is crucial for implementing measures that reduce risk. Therefore, this paper proposes a probabilistic numerical framework to estimate structural identify as well main parameters affecting safety RC structures. This comprehensively combines experimental data, finite element method (FEM), polynomial chaos expansion (PCE) modeling. First, FEM analysis developed verified with 26-year-old beam. The investigated case considers effects corrosion degree bond behavior steel–concrete interface on properties mode Second, PCE surrogate models serviceability ultimate limit states are established by combining sampling technique (e.g., Sobol sequences) validated model. Finally, global sensitivity conducted using Several illustrative cases presented analyze, in deterministic manners, sensitivities material geometry characteristics both states. results study could provide useful insights under different scenarios.