Estimation of the dynamic response of a slender suspension bridge using measured acceleration data

Estimation of the dynamic response of a slender suspension bridge using measured acceleration data

Petersen, Øyvind Wiig (Norwegian University of Science and Technology (NTNU))
Øiseth, Ole (Norwegian University of Science and Technology (NTNU))
Lourens, E. (TU Delft Offshore Engineering)

Vestroni, Fabrizio (editor)
Gattulli, Vincenzo (editor)
Romeo, Francesco (editor)

2017

Suspension bridges with very long spans and slender designs are susceptible to large-amplitude dynamic excitation. Monitoring systems installed on bridges can provide measurement data (e.g. accelerations) and therewith valuable information on the true dynamic behaviour. This pilot study examines the possible use of recently developed methods for real-time response estimation at unmeasured locations. The methodology for response estimation is tested in a case study on the Hardanger Bridge, a 1310 m long suspension bridge in Norway, which has a network of twenty accelerometers. Two techniques, a joint input-state estimation algorithm (JIS) and a dual Kalman filter (DKF), are used to estimate the full-field dynamic response using data measured at the bridge and a reduced order structural model. The results show that the DKF is able to estimate accelerations fairly accurately. The JIS estimate, however, suffer from ill-conditioning and consequently show severe errors. Possible reasons for this ill-conditioning are briefly discussed.

response estimation
structural monitoring
suspension bridge
wind engineering

http://resolver.tudelft.nl/uuid:08d5dfea-2dfb-46ad-ab44-afb137e12800

https://doi.org/10.1016/j.proeng.2017.09.547

Elsevier

X International Conference on Structural Dynamics, EURODYN 2017, 199

10th international conference on recent advances in structural dynamics, 2010-07-12 → 2010-07-14, Faculty of Civil and Industrial Engineering of Sapienza University of Rome, Roma, Italy

Procedia Engineering, 1877-7058, 199

Institutional Repository

conference paper

© 2017 Øyvind Wiig Petersen, Ole Øiseth, E. Lourens