Abstract
The Norwegian Public Roads Administration is reviewing the possibility of using floating bridges as fjord crossings. The dynamic behaviour of very long floating bridges with novel designs are prone to uncertainties. Studying the dynamic behaviour of existing bridges is valuable for understanding the in-situ performance. We present a case study of the Bergsøysund Bridge, a 840 m long floating pontoon bridge located in Norway. An extensive monitoring system is installed on the bridge, including a network of accelerometers. A finite element model of the bridge is established. Using the measured acceleration output and recently developed Kalman filter based methods (a joint input-state (JIS) estimation algorithm and a dual Kalman filter (DKF)), we estimate accelerations at unmeasured locations. It is shown that the estimated response from the DKF agrees well with direct reference measurements. For the JIS, numerical instabilities in the estimates occur due to ill-conditioning of the matrices used in the system inversion.
Original language | English |
---|---|
Title of host publication | Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering |
Subtitle of host publication | and USD2016 - International Conference on Uncertainty in Structural Dynamics |
Editors | P. Sas, D. Moens, A. van de Walle |
Publisher | KU Leuven |
Pages | 613-625 |
Number of pages | 13 |
ISBN (Electronic) | 9789073802940 |
Publication status | Published - 2016 |
Event | 27th International Conference on Noise and Vibration Engineering and International Conference on Uncertainty in Structural Dynamics - Leuven, Belgium Duration: 19 Sept 2016 → 21 Sept 2016 https://www.mech.kuleuven.be/en/pma/events/isma-2016 |
Conference
Conference | 27th International Conference on Noise and Vibration Engineering and International Conference on Uncertainty in Structural Dynamics |
---|---|
Abbreviated title | ISMA 2016 and USD2016 |
Country/Territory | Belgium |
City | Leuven |
Period | 19/09/16 → 21/09/16 |
Internet address |