Prediction of the extreme slow-drift response of moored floating structures using design waves

• Both the RAO and the QTF are employed to determine response-conditioned waves. • Extreme resonant responses are predicted using short-duration design wave episodes. • The method is validated for the surge motions of a moored container ship. • The results are insensitive to the choice of the added damping in the modelling. Design waves have been used in the past for the probabilistic assessment of wave-induced loads and responses of offshore structures. Various response-conditioning techniques have been employed to determine suitable wave episodes, typically based on linear response transfer functions. Nevertheless, extreme events are not always driven by linear phenomena but can be triggered by near-resonant effects, as in the case of the slow-drift motions of moored floating bodies. Limited research has been devoted to addressing this class of responses using response-conditioned waves (RCW). This paper presents a new approach for deriving RCWs that accounts for combined wave- and low-frequency responses. Both the response amplitude operator (RAO) and the quadratic transfer function (QTF) are employed in an iterative response-conditioning procedure. That permits the identification of appropriate short-duration wave episodes that excite resonant slow-drift motions. These wave episodes are then used in a two-step multi-fidelity design wave methodology for the probabilistic evaluation of the fully nonlinear extreme responses. The proposed approach is validated experimentally for predicting the surge excursions of a moored container ship, and good agreement is found against Monte Carlo results in irregular waves.

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Publication Details

Journal
Ocean Engineering
Published
2025-05-14
DOI
https://doi.org/10.1016/j.oceaneng.2025.121456
Citations
2
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
3.59

Funders

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article

Prediction of the extreme slow-drift response of moored floating structures using design waves

Harry B. Bingham, Guillaume Ducrozet, Athanasios Dermatis, Benjamin Bouscasse et al.
2 citations
Ocean Engineering
Ocean Waves and Remote Sensing
3.59
article

Prediction of the extreme slow-drift response of moored floating structures using design waves

Harry B. Bingham, Guillaume Ducrozet, Athanasios Dermatis, Benjamin Bouscasse, Henrik Bredmose
article en
2 citations

Abstract

• Both the RAO and the QTF are employed to determine response-conditioned waves. • Extreme resonant responses are predicted using short-duration design wave episodes. • The method is validated for the surge motions of a moored container ship. • The results are insensitive to the choice of the added damping in the modelling. Design waves have been used in the past for the probabilistic assessment of wave-induced loads and responses of offshore structures. Various response-conditioning techniques have been employed to determine suitable wave episodes, typically based on linear response transfer functions. Nevertheless, extreme events are not always driven by linear phenomena but can be triggered by near-resonant effects, as in the case of the slow-drift motions of moored floating bodies. Limited research has been devoted to addressing this class of responses using response-conditioned waves (RCW). This paper presents a new approach for deriving RCWs that accounts for combined wave- and low-frequency responses. Both the response amplitude operator (RAO) and the quadratic transfer function (QTF) are employed in an iterative response-conditioning procedure. That permits the identification of appropriate short-duration wave episodes that excite resonant slow-drift motions. These wave episodes are then used in a two-step multi-fidelity design wave methodology for the probabilistic evaluation of the fully nonlinear extreme responses. The proposed approach is validated experimentally for predicting the surge excursions of a moored container ship, and good agreement is found against Monte Carlo results in irregular waves.

Ocean EngineeringVol. 333
École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), Laboratoire de Recherche Hydrodynamique, Energétique et Environnement Atmosphérique (FR), Technical University of Denmark (DK), Nantes Université (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 9%
Ocean Waves and Remote Sensing
3.59
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