A Review on the Modelling of Wave-Structure Interactions Based on OpenFOAM

Huang, Luofeng; Li, Yuzhu; Benites-Munoz, Daniela; Windt, Christian; Feichtner, Anna; Tavakoli, Sasan; Davidson, Josh; Paredes, Ruben; Quintuna, Tadea; Ransley, Edward; Colombo, Marco; Li, Minghao; Cardiff, Philip; Tabor, Gavin

doi:10.51560/ofj.v2.65

Cited by 26 publications

(8 citation statements)

References 152 publications

(206 reference statements)

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“…Figure 2 illustrates the change from stable to unstable solver behaviour when the body becomes lighter than the surrounding fluid in the case of a circular body accelerating in a fluid due to gravity. The simulations were run with OpenFOAM’s solver for the fluid motion [8] and the module [30] for body motion. Both the converging and diverging solution in figure 2 exhibit an alternating overshoot, where the alternation is caused by the factor false( - 1 false) k in equation (2.4).…”

Section: The Added Mass Instability Problemmentioning

confidence: 99%

A robust algorithm for computational floating body dynamics

Roenby,

Aliyar,

Bredmose

2024

R. Soc. Open Sci.

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We present a non-iterative algorithm, FloatStepper, for coupling the motion of a rigid body and an incompressible fluid in computational fluid dynamics (CFD) simulations. The purpose of the algorithm is to remove the so-called added mass instability problem, which may arise when a light, floating body interacts with a heavy fluid. The idea underlying the presented coupling method is to precede every computational time step by a series of prescribed probe body motions in which the fluid response is determined, thus revealing the decomposition of the net force and torque into two components: (i) an added mass contribution proportional to the instantaneous body acceleration and (ii) all other forces and torques. The algorithm is implemented and released as an open-source extension module to the widely used CFD toolbox, OpenFOAM, as an alternative to the existing body motion solvers. The accuracy of the algorithm is investigated with several single-phase and two-phase flow benchmark cases. The benchmarks demonstrate excellent stability properties, allowing simulations even with massless bodies. They also highlight aspects of the implementation, such as the mesh motion method, where it can be improved to further enhance the flexibility and predictive capabilities of the code.

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Section: The Added Mass Instability Problemmentioning

confidence: 99%

A robust algorithm for computational floating body dynamics

Roenby,

Aliyar,

Bredmose

2024

R. Soc. Open Sci.

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“…The numerical tank is generated using OpenFOAM (see Figure 1) utilising the Finite Volume Method (FVM). The interFOAM solver which is capable of solving the VOF (Volume of Fluid) equations [20] is utilised. Waves are generated using the waves2foam library [21].…”

Section: Cfd Model For Wave Generationmentioning

confidence: 99%

“…Within the domain of interest (1 <𝑥 𝜆 ⁄ < 3), water surface elevation, pressure and velocity components are sampled at 7 different water columns which are located within 2 m distance intervals (a third of the wavelength). Such setup is designed based on the experience and recommendations [20].…”

Section: Cfd Model For Wave Generationmentioning

confidence: 99%

A deep learning method for the prediction of focused waves in a wave flume

Zhang

Tavakoli

Hirdaris

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Rogue waves pose a significant risk to marine safety, emphasizing the need to accurately predict their occurrence in the open ocean. However, the complexity of their evolution, which may involve nonlinear physical phenomena such as wave-wave interaction and modulation instability, makes this task challenging. Currently the reconstruction of rogue waves involves generating focused waves through the superposition of different spectral components of irregular waves that are in phase at the focusing point. Despite its effectiveness, this approach is limited. The paper introduces a deep learning method based on Long short-term memory (LSTM) to predict focused waves generated in a Computational Fluid Dynamics (CFD) flume in the time domain. The model is trained on 60% of the generated wave time series, with the remaining 40% used for both validation and testing. The results demonstrate that the proposed method can assist with the prediction of focused waves at various observation points, indicating its potential as a promising approach for predicting rogue wave behaviour in the ocean.

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“…The approach can be applied via OpenFOAM and utilises one- or two-way coupling methods (Huang et al. 2022).…”

Section: Introductionmentioning

confidence: 99%

A fluid–solid momentum exchange method for the prediction of hydroelastic responses of flexible water entry problems

2023

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The paper presents a Fluid Structure Interaction (FSI) method for hydroelastic water entry. The method assumes that the momentum exchange between the fluid and solid body can be used for the calculation of pressure, deformation and stresses arising during impact. The flexible fluid–structure interactions of flat plates entering water are solved using a computational code that employs the finite volume method to discretise both fluid and solid equations. This provides a better matching of momentum on the fluid–solid interface. The momentum arising in the solid body that emerges after the impact is defined as the momentum exchange, and is shown to increase linearly under the increase of non-dimensional impact speed. The ratio of the maximum pressure arising in an elastic body entering water to that of a rigid body is termed relative pressure and is shown to decrease linearly as a function of momentum exchange. The latter verifies the main hypothesis of this paper, namely that ‘the pressure acting on an elastic body can be predicted using an unsophisticated equation that uses the momentum exchange.’ The deformation and stresses arising in elastic plates entering water are demonstrated to be functions of momentum exchange and can be found using simple equations formulated via parametrisation of data. It is concluded that subject to further validation, the method could be extended for the prediction of hydroelastic response of other sections/bodies entering water.

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A Review on the Modelling of Wave-Structure Interactions Based on OpenFOAM

Cited by 26 publications

References 152 publications

A robust algorithm for computational floating body dynamics

A robust algorithm for computational floating body dynamics

A deep learning method for the prediction of focused waves in a wave flume

A fluid–solid momentum exchange method for the prediction of hydroelastic responses of flexible water entry problems

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