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A Laplace-domain method for motion response estimation of floating structures based on a combination of generalised transfer function and partial fraction

Liu, Fushun ; Fu, Qiang ; Tian, Zhe

Ships and offshore structures, 2020-09, Vol.15 (8), p.829-843 [Periódico revisado por pares]

Cambridge: Taylor & Francis

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  • Título:
    A Laplace-domain method for motion response estimation of floating structures based on a combination of generalised transfer function and partial fraction
  • Autor: Liu, Fushun ; Fu, Qiang ; Tian, Zhe
  • Assuntos: Cylinders ; Floating platforms ; floating structure ; Floating structures ; Fourier transform ; Fourier transforms ; Laplace-domain response ; Mathematical analysis ; Movement ; Random waves ; SESAM ; transfer function ; Transfer functions
  • É parte de: Ships and offshore structures, 2020-09, Vol.15 (8), p.829-843
  • Descrição: A Laplace-domain method is proposed to predict time-domain motion responses of floating structures. As a theoretical contribution, two techniques of generalising transfer functions of floating structures (GTFF) are developed, which are symbolic-based and Fourier transform-based techniques. Three cases are employed in this study: The first case involves a single degree-of-freedom system to demonstrate the correctness of the derived GTFF, which is assumed to have a purely analytical retardation function. The second case involves a truncated cylinder subjected to random waves that are defined by a Jonswap spectrum. Numerical results show that the symbolic approach simultaneously offers a perfect estimation of the transfer functions of a system, while the inverse Fourier-transform-based approach has some discrepancies at the first short parts of the phases. To further investigate potential applications, a floating platform is employed, and comparisons are drawn by using the commercial software SESAM, which found consistently estimated motion responses.
  • Editor: Cambridge: Taylor & Francis
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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