Numerical Modeling of Fluid-Structure Interactions in Ocean Engineering

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: 1 October 2025 | Viewed by 5367

Special Issue Editor


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Guest Editor
SINTEF Ocean, Trondheim, Norway
Interests: marine hydrodynamics; seakeeping; slamming; hydroelasticity; wave loads; potential theory; numerical modeling

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the numerical modeling of fluid–structure interactions related to ships and stationary structures subjected to hydrodynamic loads. Examples are seakeeping, maneuvering and added resistance of ships, marine operations, VIV of slender structures and wave- and current-induced loads, and motions of floating and bottom-fixed structures. Numerical modeling and analysis using boundary methods or field methods are relevant.

We invite researchers from both academia and industry to submit original articles that advance the state of the art within the numerical modeling of fluid–structure interactions, or review the progress and future directions of research in this field.

Dr. Ole Andreas Hermundstad
Guest Editor

Manuscript Submission Information

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Keywords

  • wave and current loads
  • seakeeping
  • maneuvering and added resistance
  • slamming
  • hydroelasticity
  • marine operations
  • air gap
  • moorings
  • vortex-induced vibrations (VIV)
  • vortex-induced motions (VIM)

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Published Papers (5 papers)

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Research

32 pages, 12574 KiB  
Article
Stochastic and Nonlinear Dynamic Response of Drillstrings in Deepwater Riserless Casing Drilling Operation
by He Li, Guodong Cheng, Shiming Zhou, Wenyang Shi and Jieli Wang
J. Mar. Sci. Eng. 2025, 13(5), 876; https://doi.org/10.3390/jmse13050876 (registering DOI) - 28 Apr 2025
Viewed by 64
Abstract
In order to gain an insight into the stress state of drillstring in riserless drilling conditions with Casing while Drilling (CwD) technology, a stochastic and nonlinear dynamic model of the drillstring under the excitation of the environmental load is established based on Hamilton [...] Read more.
In order to gain an insight into the stress state of drillstring in riserless drilling conditions with Casing while Drilling (CwD) technology, a stochastic and nonlinear dynamic model of the drillstring under the excitation of the environmental load is established based on Hamilton principle and finite deformation theory. The distribution of tensile stress, bending stress, and effective stress along the axial direction of drillstring that is exposed to the ambient environment is emphasized, the influence of wall thickness and material of the drillpipe on the stress state of drillstring is also discussed. The numerical results show that significant fluctuations in cross-sectional stress occur during the riserless drilling process, particularly under varying hydrodynamic loads; the tensile stress and effective stress are larger on landing string and the maximum values of these stresses occur at the connection point of the landing string and casing string; the bending stress is larger on casing string and the maximum value occurs near the sea floor; and increasing the wall thickness and selecting the low-density material can help to reduce the stress of the drillstring. It can be concluded from the numerical results that during the CwD riserless drilling process, the effective stress on the cross section of drillstring is mainly determined by the tensile stress and the contribution of bending stress is comparably small, and the dangerous cross section of the drillstring is located at the connection point of landing string and casing string. The proposed dynamic model offers theoretical insights that can inform drillstring design and vibration mitigation strategies in CwD operations. Full article
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22 pages, 9467 KiB  
Article
Study on the Dynamic Characteristics of Floating Production Storage and Offloading Units and Steel Catenary Risers Under the Action of Internal Solitary Waves
by Fengming Du, Mingjie Li, Zetian Mi and Pan Gao
J. Mar. Sci. Eng. 2025, 13(3), 521; https://doi.org/10.3390/jmse13030521 - 9 Mar 2025
Viewed by 448
Abstract
In the ocean, internal solitary waves (ISW) pose a serious threat to the safety of marine engineering structures such as floating production storage and offloading (FPSO) units and steel catenary risers (SCRs). In this work, a calculation method for the load acting on [...] Read more.
In the ocean, internal solitary waves (ISW) pose a serious threat to the safety of marine engineering structures such as floating production storage and offloading (FPSO) units and steel catenary risers (SCRs). In this work, a calculation method for the load acting on an FPSO by internal solitary waves and a calculation method for the cable recovery force were proposed, the motion characteristics of the FPSO under the action of internal solitary waves were analyzed, and the dynamic characteristics of SRCs were further studied. The results show that that the internal solitary wave load reaches its maximum value before the ISW reaches the FPSO position, and the displacement reaches its maximum value around the time when the ISW reaches the FPSO position. The smaller the horizontal pre-tension of the mooring cable, the greater the displacement of the FPSO. The stress of the SRC reaches its maximum value when the FPSO reaches its maximum displacement, while it reaches its minimum value when the FPSO reaches its minimum motion. As the incident angle of the ISW increases, the stress of the SCRs slightly decreases. This model and the findings can provide a technical support and guidance for the design of FPSOs and SCRs. Full article
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26 pages, 16031 KiB  
Article
Study on Hydroelastic Responses of Membrane-Type LNG Cargo Containment Structure under Impulsive Sloshing Loads of Different Media
by Cheon-Jin Park, Jeoung-Kyu Lee and Yonghwan Kim
J. Mar. Sci. Eng. 2024, 12(10), 1794; https://doi.org/10.3390/jmse12101794 - 9 Oct 2024
Cited by 1 | Viewed by 1196
Abstract
Owing to the increasing g lobal demand for natural gas, the construction of liquefied natural gas (LNG) carriers has become a key trend in the shipbuilding market. In the design of membrane-type LNG carriers, a sloshing analysis is crucial for cargo containment systems [...] Read more.
Owing to the increasing g lobal demand for natural gas, the construction of liquefied natural gas (LNG) carriers has become a key trend in the shipbuilding market. In the design of membrane-type LNG carriers, a sloshing analysis is crucial for cargo containment systems (CCSs). In this study, structural responses due to impulsive sloshing loads were observed, including the effects of hydroelasticity and the test medium. To this end, the structural responses were first observed with and without hydroelastic coupling between the liquid and structure. When fluid–structure coupling is considered, a finite element analysis is performed for the integrated structure of the hull and CCS. This method was then applied to evaluate the capacity and safety of the inner hull structures of actual LNG vessels in cases where different sloshing pressures occurred owing to the different liquid–gas media. The structural capacity was evaluated using the utilization factor (UT). The results confirm that the effects of the hydroelasticity, density ratio, and phase transition of the experimental medium are essential for the evaluation of the structural responses of LNG CCSs. Full article
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21 pages, 6521 KiB  
Article
AI-Driven Model Prediction of Motions and Mooring Loads of a Spar Floating Wind Turbine in Waves and Wind
by Antonio Medina-Manuel, Rafael Molina Sánchez and Antonio Souto-Iglesias
J. Mar. Sci. Eng. 2024, 12(9), 1464; https://doi.org/10.3390/jmse12091464 - 23 Aug 2024
Cited by 1 | Viewed by 2020
Abstract
This paper describes a Long Short-Term Memory (LSTM) neural network model used to simulate the dynamics of the OC3 reference design of a Floating Offshore Wind Turbine (FOWT) spar unit. It crafts an advanced neural network with an encoder–decoder architecture capable of predicting [...] Read more.
This paper describes a Long Short-Term Memory (LSTM) neural network model used to simulate the dynamics of the OC3 reference design of a Floating Offshore Wind Turbine (FOWT) spar unit. It crafts an advanced neural network with an encoder–decoder architecture capable of predicting the spar’s motion and fairlead tensions time series. These predictions are based on wind and wave excitations across various operational and extreme conditions. The LSTM network, trained on an extensive dataset from over 300 fully coupled simulation scenarios using OpenFAST, ensures a robust framework that captures the complex dynamics of a floating platform under diverse environmental scenarios. This framework’s effectiveness is further verified by thoroughly evaluating the model’s performance, leveraging comparative statistics and accuracy assessments to highlight its reliability. This methodology contributes to substantial reductions in computational time. While this research provides insights that facilitate the design process of offshore wind turbines, its primary aim is to introduce a new predictive approach, marking a step forward in the quest for more efficient and dependable renewable energy solutions. Full article
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27 pages, 3367 KiB  
Article
Fluid–Structure Interaction Analysis of Manta-Bots with Self-Induced Vertical Undulations during Fin-Based Locomotion
by Ming Luo, Zhigang Wu, Minghao Zhou and Chao Yang
J. Mar. Sci. Eng. 2024, 12(7), 1165; https://doi.org/10.3390/jmse12071165 - 10 Jul 2024
Cited by 1 | Viewed by 1148
Abstract
Driven by the demands of ocean exploration, an increasing number of manta ray-inspired robots have been designed and manufactured, primarily utilizing flexible skeletons combined with motor-driven mechanisms. However, the mechanical analysis of these designs remains underdeveloped, often relying on simplistic imitation of biological [...] Read more.
Driven by the demands of ocean exploration, an increasing number of manta ray-inspired robots have been designed and manufactured, primarily utilizing flexible skeletons combined with motor-driven mechanisms. However, the mechanical analysis of these designs remains underdeveloped, often relying on simplistic imitation of biological prototypes and typically neglecting the vertical motion induced by pectoral fin flapping. This paper presents a fluid–structure interaction analysis framework that couples rigid body motion with elastic deformation using flexible multibody dynamics and the vortex particle method. An implicit iterative algorithm with Aitken relaxation is employed to address added-mass instability, and the framework has been validated against experimental data. An analysis of a representative manta-bot model shows that self-induced vertical undulations reduce the thrust coefficient by approximately 40% compared to fixed vertical degrees of freedom, while slightly improving overall propulsive efficiency. The study also highlights the critical role of mass distribution in manta-bots, noting that excessive focus on complex pectoral fin movements and large fin mass can significantly reduce thrust by increasing vertical displacement, ultimately proving counterproductive. Full article
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