Model-Based Estimation of Hydrodynamic Forces on the Bergsoysund Bridge

Conference paper (2016)

Authors

Oyvind W. Petersen Norwegian University of Science and Technology (NTNU)

O. Øiseth Norwegian University of Science and Technology (NTNU)

Torodd S. Nord Norwegian University of Science and Technology (NTNU)

E. Lourens Offshore Engineering -

Research Group

Offshore Engineering () (TU Delft)

Fluid-structure interaction Force identification Wave loading Floating bridge Sensor network

To reference this document use:

http://resolver.tudelft.nl/uuid:80811523-8b23-4126-af86-442d50ab4ce5

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Published Date

2016

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Hydraulic Engineering

Research Group

Offshore Engineering

Abstract

Knowledge of excitation loads on bridges are important for reliable design. Load models are however prone to uncertainties. Force identification using dynamic response measured on full-scale structures can be used to reduce the
uncertainty. In this contribution, numerical simulations are performed to examine the feasibility of force identification on the floating pontoon Bergsoysund Bridge. We present a practical case study in which wave excitation forces and motion
induced forces are estimated using only acceleration output. The sensor network considered represents the monitoring system currently installed on the bridge. A reduced order model with 26 modes is used to represent the structure in the identification. Wave force time series are generated by Monte Carlo simulations, and the acceleration response is obtained from a frequency domain solution of the equations of motion. The generated acceleration data is polluted with noise and subsequently used for identification. The results show that a joint input-state estimation algorithm is able to adequately identify a subset of hydrodynamic forces acting on the pontoons in the presence of both measurement and model errors. The translational forces are identified with a larger accuracy than the moments. Lastly, considerations and improvements for an analysis with experimental field data are presented.