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Dynamic Response Characterization of Floating Structures Based on Numerical Simulations

Author

Listed:
  • Francisco Pimenta

    (CONSTRUCT-ViBest, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Carlo Ruzzo

    (Natural Ocean Engineering Laboratory (NOEL), Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, Italy)

  • Giuseppe Failla

    (DICEAM Department, Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, Italy)

  • Felice Arena

    (Natural Ocean Engineering Laboratory (NOEL), Mediterranea University of Reggio Calabria, 89122 Reggio Calabria, Italy)

  • Marco Alves

    (WavEC Offshore Renewables, 1350-352 Lisbon, Portugal)

  • Filipe Magalhães

    (CONSTRUCT-ViBest, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

Abstract

Output-only methods are widely used to characterize the dynamic behavior of very diverse structures. However, their application to floating structures may be limited due to their strong nonlinear behavior. Therefore, since there is very little experience on the application of these experimental tools to these very peculiar structures, it is very important to develop studies, either based on numerical simulations or on real experimental data, to better understand their potential and limitations. In an initial phase, the use of numerical simulations permits a better control of all the involved variables. In this work, the Covariance-driven Stochastic Subspace Identification (SSI-COV) algorithm is applied to numerically simulated data of two different solutions to Floating Offshore Wind Turbines (FOWT) and for its capability of tracking the rigid body motion modal properties and susceptibility to different modeling restrictions and environmental conditions tested. The feasibility of applying the methods in an automated fashion in the processing of a large number of datasets is also evaluated. While the structure natural frequencies were consistently obtained from all the simulations, some difficulties were observed in the estimation of the mode shape components in the most changeling scenarios. The estimated modal damping coefficients were in good agreement with the expected results. From all the results, it can be concluded that output-only methods are capable of characterizing the dynamic behavior of a floating structure, even in the context of continuous dynamic monitoring using automated tracking of the modal properties, and should now be tested under uncontrolled environmental loads.

Suggested Citation

  • Francisco Pimenta & Carlo Ruzzo & Giuseppe Failla & Felice Arena & Marco Alves & Filipe Magalhães, 2020. "Dynamic Response Characterization of Floating Structures Based on Numerical Simulations," Energies, MDPI, vol. 13(21), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5670-:d:437141
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    References listed on IDEAS

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    1. Carlo Ruzzo & Giuseppe Failla & Maurizio Collu & Vincenzo Nava & Vincenzo Fiamma & Felice Arena, 2016. "Operational Modal Analysis of a Spar-Type Floating Platform Using Frequency Domain Decomposition Method," Energies, MDPI, vol. 9(11), pages 1-15, October.
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    Cited by:

    1. Kwangtae Ha & Jun-Bae Kim & Youngjae Yu & Hyoung-Seock Seo, 2021. "Structural Modeling and Failure Assessment of Spar-Type Substructure for 5 MW Floating Offshore Wind Turbine under Extreme Conditions in the East Sea," Energies, MDPI, vol. 14(20), pages 1-23, October.
    2. Antonio Galán-Lavado & Matilde Santos, 2021. "Analysis of the Effects of the Location of Passive Control Devices on the Platform of a Floating Wind Turbine," Energies, MDPI, vol. 14(10), pages 1-19, May.
    3. Nathali Rolon Dreher & Gustavo Chaves Storti & Tiago Henrique Machado, 2023. "Vibration Signal Evaluation Based on K-Means Clustering as a Pre-Stage of Operational Modal Analysis for Structural Health Monitoring of Rotating Machines," Energies, MDPI, vol. 16(23), pages 1-14, November.

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