Ship Behaviour in Extreme Sea Conditions

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (1 April 2025) | Viewed by 1108

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Guest Editor
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China
Interests: ship seakeeping; wave loads; hydrodynamics; hydroelasticity; slamming; computational fluid dynamics
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Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Tecnico, Lisbon, Portugal
Interests: CFD; fluid-structure interaction; mooring analysis; naval hydrodynamics; slamming; ship vibration; floating production system; hydro-elastic response
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Special Issue Information

Dear Colleagues,

The prediction of ship behaviour in extreme sea conditions is a central concern of naval architects and is fundamental for ship design, optimization and evaluation. In the past few decades, a wide variety of theoretical and experimental methods have been developed to estimate resistance, motions, loads and maneuverability of ships in waves. These methods include potential flow theory, the Computational Fluid Dynamics (CFD) technique, tank model test and sea trial. However, due to the complexity of interactions between water waves and arbitrary-shape moving ship hulls in the presence of free surfaces and forward speed, the problems of ship responses in extreme seas are still far from being satisfactorily addressed, especially for the problems involving high forward speed, harsh weather, instantaneous wetted surfaces, irregular sea waves and strong nonlinear fluid-flexible structure interactions.

This Special Issue aims to gather the latest developments in the prediction of ship behaviour in extreme sea conditions reported by theoretical, numerical and experimental studies. Submissions on the use of novel numerical and experimental tools including potential flow theory, CFD tool and model/full scale measurements in addressing the relevant problems are especially welcome.

Dr. Jialong Jiao
Dr. Shan Wang
Guest Editors

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Keywords

  • ship hydrodynamics
  • water waves and floating bodies
  • fluid-structure interaction
  • extreme sea conditions
  • freak waves
  • irregular waves
  • ship resistance and propulsion
  • ship maneuverability
  • ship seakeeping
  • structural loads and responses
  • slamming and whipping
  • green water on deck
  • tank sloshing
  • hydroelasticity
  • sea trial

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Published Papers (1 paper)

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Research

35 pages, 15001 KiB  
Article
Structural Response Prediction of Floating Offshore Wind Turbines Based on Force-to-Motion Transfer Functions and State-Space Models
by Jie Xu, Changjie Li, Wei Jiang, Fei Lin, Shi Liu, Hongchao Lu and Hongbo Wang
J. Mar. Sci. Eng. 2025, 13(1), 160; https://doi.org/10.3390/jmse13010160 - 18 Jan 2025
Viewed by 765
Abstract
This paper proposes an innovative algorithm for forecasting the motion response of floating offshore wind turbines by employing force-to-motion transfer functions and state-space models. Traditional numerical integration techniques, such as the Newmark-β method, frequently struggle with inefficiencies due to the heavy computational demands [...] Read more.
This paper proposes an innovative algorithm for forecasting the motion response of floating offshore wind turbines by employing force-to-motion transfer functions and state-space models. Traditional numerical integration techniques, such as the Newmark-β method, frequently struggle with inefficiencies due to the heavy computational demands of convolution integrals in the Cummins equation. Our new method tackles these challenges by converting the problem into a system output calculation, thereby eliminating convolutions and potentially enhancing computational efficiency. The procedure begins with the estimation of force-to-motion transfer functions derived from the hydrostatic and hydrodynamic characteristics of the wind turbine. These transfer functions are then utilized to construct state-space models, which compactly represent the system dynamics. Motion responses resulting from initial conditions and wave forces are calculated using these state-space models, leveraging their poles and residues. We validated the proposed method by comparing its calculated responses to those obtained via the Newmark-β method. Initial tests on a single-degree-of-freedom (SDOF) system demonstrated that our algorithm accurately predicts motion responses. Further validation involved a numerical model of a spar-type floating offshore wind turbine, showing high accuracy in predicting responses to both regular and irregular wave conditions, closely aligning with results from conventional methods. Additionally, we assessed the efficiency of our algorithm over various simulation durations, confirming its superior performance compared to traditional time-domain methods. This efficiency is particularly advantageous for long-duration simulations. The proposed approach provides a robust and efficient alternative for predicting motion responses in floating offshore wind turbines, combining high accuracy with improved computational performance. It represents a promising tool for enhancing the development and evaluation of offshore wind energy systems. Full article
(This article belongs to the Special Issue Ship Behaviour in Extreme Sea Conditions)
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