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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Moe, G.: Design philosophy of floating bridges with emphasis on ways to ensure long life. J. Mar. Sci. Technol. 2(3), 182–189 (1997)
Watanabe, E., Utsunomiya, T.: Analysis and design of floating bridges. Prog. Struct. Eng. Mater. 5(3), 127–144 (2003)
Kvåle, K.A., Øiseth, O., Sigbjörnsson, R.: Modelling of the stochastic dynamic behaviour of the Bergsoysund bridge: an application of the power spectral density method. In: Proceedings of the 9th International Conference on Structural Dynamics, EURODYN (2014)
Kvåle, K.A., Øiseth, O., Rønnquist, A., Sigbjörnsson, R.: Modal analysis of a floating bridge without side-mooring. In: Dynamics of Civil Structures, vol. 2, pp. 127–136. Springer, Berlin (2015)
Lourens, E., Reynders, E., De Roeck, G., Degrande, G., Lombaert, G.: An augmented Kalman filter for force identification in structural dynamics. Mech. Syst. Signal Process. 27, 446–460 (2012)
Azam, S.E., Chatzi, E., Papadimitriou, C.: A dual Kalman filter approach for state estimation via output-only acceleration measurements. Mech. Syst. Signal Process. 60, 866–886 (2015)
Naets, F., Croes, J., Desmet, W.: An online coupled state/input/parameter estimation approach for structural dynamics. Comput. Methods Appl. Mech. Eng. 283, 1167–1188 (2015)
Hwang, J., Kareem, A., Kim, W.: Estimation of modal loads using structural response. J. Sound Vib. 326(3), 522–539 (2009)
Hwang, J.-S., Lee, S.-G., Ji-hoon, P., Eun-Jong, Y.: Force identification from structural responses using Kalman filter. In: Institute of Materials Engineering, Volume 33, pp. 257–266, Melbourne, Australia (2009)
Ma, C.-K., Lin, D.-C.: Input forces estimation of a cantilever beam. Inverse Prob. Eng. 8(6), 511–528 (2000)
Ma, C.K., Chang, J.M., Lin, D.C.: Input forces estimation of beam structures by an inverse method. J. Sound Vib. 259(2), 387–407 (2003)
Hwang, J.-S., Kareem, A., Kim, H.: Wind load identification using wind tunnel test data by inverse analysis. J. Wind Eng. Ind. Aerodyn. 99(1), 18–26 (2011)
Adams, R., Doyle, J.F.: Multiple force identification for complex structures. Exp. Mech. 42(1), 25–36 (2002)
Liu, J.-J., Ma, C.-K., Kung, I.-C., Lin, D.-C.: Input force estimation of a cantilever plate by using a system identification technique. Comput. Methods Appl. Mech. Eng. 190(11), 1309–1322 (2000)
Mao, Y., Zhang, W., Ouyang, H., Lin, J.: Input force estimation accounting for modeling errors and noise in responses. Arch. Appl. Mech. 85(7), 909–919 (2015)
Liu, Y., Shepard, W.S. Jr.: Dynamic force identification based on enhanced least squares and total least-squares schemes in the frequency domain. J. Sound Vib. 282(1), 37–60 (2005)
Parloo, E., Verboven, P., Guillaume, P., Van Overmeire, M.: Force identification by means of in-operation modal models. J. Sound Vib. 262(1), 161–173 (2003)
Han, S.L., Kinoshita, T.: Investigation of a stochastic inverse method to estimate an external force: applications to a wave-structure interaction. Math. Probl. Eng. 175036, 25 (2012)
Gillijns, S., De Moor, B.: Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough. Automatica 43(5), 934–937 (2007)
Lourens, E., Papadimitriou, C., Gillijns, S., Reynders, E., De Roeck, G., Lombaert, G.: Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors. Mech. Syst. Signal Process. 29, 310–327 (2012)
Maes, K., Lourens, E., De Roeck, G., Lombaert, G.: General conditions for instantaneous system inversion in structural dynamics. In: Proceedings of the 5th International Conference on Structural Engineering, Mechanics and Computation, SEMC, pp. 43–48 (2013)
Maes, K., Lourens, E., Van Nimmen, K., Reynders, E., De Roeck, G., Lombaert, G.: Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics. Mech. Syst. Signal Process. 52, 628–644 (2014)
Nord, T.S., Lourens, E., Øiseth, O., Metrikine, A.: Model-based force and state estimation in experimental ice-induced vibrations by means of Kalman filtering. Cold Reg. Sci. Technol. 111, 13–26 (2015)
Taghipour, R., Perez, T., Moan, T.: Time-domain hydroelastic analysis of a flexible marine structure using state-space models. J. Offshore Mech. Arct. Eng. 131(1), 011603 (2009)
Maes, K., Lourens, E., Van Nimmen, K., Reynders, E., Van den Broeck, P., Guillaume, P., De Roeck, G., Lombaert, G.: Verification of joint input-state estimation by in situ measurements on a footbridge. In: Proceedings of the 9th International Workshop on Structural Health Monitoring, vol. 1, pp. 343–350 (2013)
Pierson, W.J. Jr., Moskowitz, L.: A proposed spectral form for fully developed wind seas based on the similarity theory of S. A. Kitaigorodskii. J. Geophys. Res. 69, 5181–5190 (1964)
National Academy of Sciences: Ocean Wave Spectra: Proceedings of a Conference, Easton, Maryland May 1961. Prentice Hall (1963)
Taghipour, R., Perez, T., Moan, T.: Hybrid frequency–time domain models for dynamic response analysis of marine structures. Ocean Eng. 35(7), 685–705 (2008)
van der Male, P., Lourens, E.: Operational vibration-based response estimation for offshore wind lattice structures. In: Proceedings of IMAC XXXIII International Modal Analysis Conference, pp. 83–96 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Petersen, Ø.W., Øiseth, O., Nord, T.S., Lourens, EM. (2016). Model-Based Estimation of Hydrodynamic Forces on the Bergsoysund Bridge. In: Pakzad, S., Juan, C. (eds) Dynamics of Civil Structures, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-29751-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-29751-4_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29750-7
Online ISBN: 978-3-319-29751-4
eBook Packages: EngineeringEngineering (R0)