ABSTRACT
The analysis of uncertainties aims to find the relationship between variability and probability in the input and output parameters. Based on this information, the consistency of the model structure can be evaluated. In this paper an attempt is made to quantify the uncertainties associated with a full-scale cable-stayed bridge. The approach was implemented in a probabilistic finite element geometrically nonlinear elastic analysis performed using ANSYS®. The final objective of the study is to evaluate the impact of uncertainties on the results and to study the possibility of validation of a predictive model. Given the uncertainty in the input parameters, the uncertainty propagation was evaluated by Monte Carlo simulation. Finally, the probability density functions of outputs are compared with experimental data to extract a measure of confidence in the numerical results.
