Model updating using operational data

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.

Snowflaking has an influence on the data structure that differs from many philosophies of data warehouses.

The modal data from the system identification procedure was utilized in updating the finite element model.

The funding for the research has been provided by the Norwegian National Rail Administration (Jernbaneverket) and is gratefully acknowledged.

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.

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