Operational Modal Analysis and Model Updating of Riveted Steel Bridge
Riveted steel bridges are common in the Norwegian and European railway network. Assessment of the current state is important to ensure continuous and safe operation of the railway. Furthermore, the prediction of remaining service life of these bridges is essential to allocate limited funds and resources to the most critical points in the infrastructure. Reliable and accurate numerical models are necessary tools to assess the current state and predict the remaining service life of these bridges.This paper presents work carried out in obtaining a validated finite element model of the Lerelva railway bridge. System identification was carried out with data driven stochastic subspace identification using data with both initial conditions from train passage and ambient excitation. The modal data from the system identification procedure was utilized in updating the finite element model.