Model-based force and state estimation in experimental ice-induced vibrations by means of Kalman filtering

Nord, Torodd Skjerve; Lourens, Eliz-Mari; Øiseth, Ole; Metrikine, Andrei V.

doi:10.1016/j.coldregions.2014.12.003

Cited by 28 publications

(22 citation statements)

References 10 publications

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“…The models' leaf spring stiffness was tuned based on the dynamic properties obtained from the dynamic calibrations of the structure. For more details on the finite element model and strain observations, see Nord et al (2015).…”

Section: Fe Modelmentioning

confidence: 99%

“…For further details, see Nord et al (2015). A moving average was added to the force time-histories to simplify the comparison between forces, responses and ice velocities (Figs.…”

Section: Force and Responsementioning

confidence: 99%

“…1. Dynamic calibration tests were conducted to obtain the static and dynamic properties of the structure, see Nord et al (2015) for further details. At the waterline, a Tecscan tactile sensor 5530 was installed to measure the normal pressures at the interface between the cylindrical indenter and the ice edge.…”

Section: Sensor Types Positions and Data Acquisitionmentioning

confidence: 99%

“…The computational effort is significantly reduced with the reduced-order models, allowing real-time estimation of the forces and states, a great advantage for monitoring also full-scale arctic structures. While Nord et al (2015) demonstrated that the framework was applicable to ice force identification, this paper further utilizes the advantage of simultaneous force and response identification to explain how the structural motion affects the ice pressure at the indenter.…”

Section: Introductionmentioning

confidence: 98%

“…The estimated states and forces are optimal in the sense that they are linear minimum-variance unbiased estimates. Recently Nord et al (2015) applied the original algorithm (Gillijns and De Moor, 2007) to ice-induced vibrations. They demonstrated that the force and response estimates were of acceptable accuracy when information about the first natural frequency was accessible.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Laboratory experiments to study ice-induced vibrations of scaled model structures during their interaction with level ice at different ice velocities

Nord

Lourens

Määttänen

et al. 2015

Cold Regions Science and Technology

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Section: Fe Modelmentioning

confidence: 99%

“…For further details, see Nord et al (2015). A moving average was added to the force time-histories to simplify the comparison between forces, responses and ice velocities (Figs.…”

Section: Force and Responsementioning

confidence: 99%

Section: Sensor Types Positions and Data Acquisitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Laboratory experiments to study ice-induced vibrations of scaled model structures during their interaction with level ice at different ice velocities

Nord

Lourens

Määttänen

et al. 2015

Cold Regions Science and Technology

Self Cite

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Bayesian framework for simultaneous input/state estimation in structural and mechanical systems

Valikhani

Younesian

2019

Struct Control Health Monit

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Summary Real‐time input/state estimation by means of the observed response has drawn considerable attention in the structural, dynamic, and control systems. In this line, a minimum‐variance unbiased (MVU) estimator has been utilized to develop three‐step filters that sometimes experience instability and divergence, especially for the input estimation in structural dynamics. To solve this challenge, this study is aimed at to estimate both the input and state simultaneously for a linear system. A Bayesian framework is developed, in which the prior information of the unknown input in terms of the a priori probability density function is incorporated in estimation process. Formulation of the estimation is presented in the state‐space representation in presence and absence of the direct feedthrough. Three‐step filters including input estimation, state prediction, and the updating are developed for the system having model uncertainty and noisy observed data. In addition to the estimation, another novel feature of this study is to predict the steady states of the filters in the closed‐form representation. We also establish sufficient conditions for convergence and stability of the proposed filters. At the end, the efficiency, robustness, and advantage of the approach is verified through numerical studies for different systems. Results for the input and state estimation are compared with real values according to the MVU estimator for the observed noisy data sets.

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Model-Based Estimation of Hydrodynamic Forces on the Bergsoysund Bridge

Petersen

Øiseth

Nord

et al. 2016

Conference Proceedings of the Society for Experimental Mechanics Series

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Model-based force and state estimation in experimental ice-induced vibrations by means of Kalman filtering

Cited by 28 publications

References 10 publications

Laboratory experiments to study ice-induced vibrations of scaled model structures during their interaction with level ice at different ice velocities

Laboratory experiments to study ice-induced vibrations of scaled model structures during their interaction with level ice at different ice velocities

Bayesian framework for simultaneous input/state estimation in structural and mechanical systems

Model-Based Estimation of Hydrodynamic Forces on the Bergsoysund Bridge

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