Advanced Modeling Approaches for Reliability Analysis of Steel Structures

One important approach in the identification of uncertainty is sensitivity analysis. The sensitivity analysis is crucial for building, understanding and applying complex mathematical models to reliability problems of building structures. Attainment of limit state is generally a random event, which is studied in the reliability theory by means of the probability theory and mathematical statistics. Methodology based on ANOVA variance-based techniques is used for the sensitivity analysis. The sensitivity indices were evaluated applying the Monte Carlo method: Sensitivity analysis is used to identify the dominant input random quantities and their higher order interaction effects. The imperfections which interact and may thus generate extreme values of resistance capacity have been identified. The results obtained may be utilized in standards for design.