Smart Structures and Systems

  • 제23권5호
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  • Pages.405-420
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  • 2019
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Vibration characteristics of offshore wind turbine tower with gravity-based foundation under wave excitation

  • Nguyen, Cong-Uy (Department of Ocean Engineering, Pukyong National University) ;
  • Lee, So-Young (Department of Ocean Engineering, Pukyong National University) ;
  • Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Heon-Tae (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • 투고 : 2019.01.09
  • 심사 : 2019.04.24
  • 발행 : 2019.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, vibration characteristics of offshore wind turbine tower (WTT) with gravity-based foundation (GBF) are identified from dynamic responses under wave-induced excitations. The following approaches are implemented to achieve the objective. Firstly, the operational modal analysis methods such as frequency domain decomposition (FDD) and stochastic subspace identification (SSI) are selected to estimate modal parameters from output-only dynamic responses. Secondly, a GBF WTT model composed of superstructure, substructure and foundation is simulated as a case study by using a structural analysis program, MIDAS FEA. Thirdly, wave pressures acting on the WTT structure are established by nonlinear regular waves which are simulated from a computational fluid software, Flow 3D. Wave-induced acceleration responses of the target structure are analyzed by applying the simulated wave pressures to the GBF WTT model. Finally, modal parameters such as natural frequencies and mode shapes are estimated from the output-only acceleration responses and compared with the results from free vibration analysis. The effect of wave height and period on modal parameter extraction is also investigated for the mode identification of the GBF WTT.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)

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