Lagrangian simulations of ship-wave interactions in rough seas

Shibata, Kazuya; Koshizuka, Seiichi; Sakai, Mikio; Tanizawa, Katsuji

doi:10.1016/j.oceaneng.2012.01.016

Cited by 65 publications

(22 citation statements)

References 22 publications

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“…In the standard MPS method [1], the Poisson equation for pressure is given by Eq. (8). Using the Laplacian model of the MPS method given by Eq.…”

Section: Pressure Poisson Equationmentioning

confidence: 99%

“…Lagrangian methods, such as the moving particle semiimplicit (MPS) method [1], smoothed particle hydrodynamics (SPH) [2,3], and the particle finite element method [4,5] have been applied to various complex flows. For example, Shibata et al simulated green water on a deck [6,7], ship motions in rough seas [8], and free-fall lifeboat [9] using the MPS method. Xiong et al [10] simulated droplet impingement for erosion of steam generator tubes using the MPS-for-all-speed-flow method [11].…”

Section: Introductionmentioning

confidence: 99%

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Improved pressure calculation for the moving particle semi-implicit method

Shibata

Masaie²,

Kondo

et al. 2015

Comp. Part. Mech.

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We developed a practical technique for calculating pressures and pressure gradients for the moving particle semi-implicit (MPS) method. Specifically, a new free-surface boundary condition for the pressure Poisson equation was developed by assuming that there are virtual particles over the surface. We treat the pressure of the virtual particles as a known value. A single liquid-phase flow is simulated taking into account the pressure of these virtual particles. A technique for detecting surface particles also was developed and used for accurately imposing the free-surface boundary condition. The pressure gradient model was modified to mitigate particle clustering and a single-layer wall model was developed to reduce the number of wall particles. We applied our technique to several problems, verifying that virtual surface particles suppress pressure oscillations and particle clusterings. The technique enables reliable differences in free-surface pressures to be taken and simulates instances of lower fluid pressure than that of a free surface.

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“…In the standard MPS method [1], the Poisson equation for pressure is given by Eq. (8). Using the Laplacian model of the MPS method given by Eq.…”

Section: Pressure Poisson Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved pressure calculation for the moving particle semi-implicit method

Shibata

Masaie²,

Kondo

et al. 2015

Comp. Part. Mech.

Self Cite

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“…The authors of this study have also proposed some modifications in (Sun et al, 2014(Sun et al, , 2015. With all these improvements, the MPS method has been successfully applied to rigid-body FSI problems, for example, the wedge dropping (Sun et al, 2014(Sun et al, , 2015Akimoto, 2013), sloshing (Sun et al, 2014(Sun et al, , 2015Khayyer and Gotoh, 2011), and ship-wave interaction (Shibata et al, 2009(Shibata et al, , 2012 problems.…”

Section: Introductionmentioning

confidence: 99%

Coupled MPS-modal superposition method for 2D nonlinear fluid-structure interaction problems with free surface

Sun

Djidjeli

Xing

et al. 2016

Journal of Fluids and Structures

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Keywords:Moving particle semi-implicit (MPS) method Fluid structure interaction (FSI) Modal superposition Free surface flow Floating beam Flexible wedge dropping a b s t r a c tIn this paper, a coupled MPS-modal superposition method is developed for 2D nonlinear fluid-structure interaction problems. In this method, the rigid-body and relatively small elastic deformation are coupled together, which considers the mutual effect between them. The elastic deformation of the structure is represented by a mode superposition formulation, which is more efficient compared with FEM, regardless of the size of the structure. For 2D cases, if the first three modes are chosen to represent the flexible deformation of the structure, it only results in a 6 Â 6 matrix equation to be solved. For the fluid motion, the modified Moving Particle Semi-implicit (MPS) method, which significantly reduces the fluctuation of pressure calculation of the original MPS method, is used.Two nonlinear problems, i.e. breaking-water-dam impacting a floating beam and flexible wedge slamming into the water are simulated to demonstrate the performance of the developed method. The numerical simulations show that this coupling model is capable of providing stable results that are generally in good agreement with the available experimental data. For the highly nonlinear case with very large rigid motions, the mutual effect between elastic deformation and rigid motions could accumulate to a relatively remarkable level shown by the curves of trajectories or acceleration history of the body mass centre. This also indicates the importance of mutual effect to analyse highly nonlinear FSI problems with large rigid-body motions and relatively small flexible deformation.

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“…In the last decade, many researchers presented results showing that Lagrangian particle‐based CFD methods are powerful tools to analyze free surface flows , multiphase flows , and fluid structure interaction problems . One of the reasons of particle‐based methods success in analyzing these problems is because of the easiness of modeling complex boundary geometries and the ability of tracking fluid interfaces, even with huge displacement and deformation, fragmentation, or merging of liquids.…”

Section: Introductionmentioning

confidence: 99%

Fluid interface detection technique based on neighborhood particles centroid deviation (NPCD) for particle methods

Tsukamoto

Cheng

Motezuki

2016

Numerical Methods in Fluids

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Summary Particle‐based CFD methods are powerful approaches to investigate free surface, multiphase flows, and fluid structure interaction problems because of their ability of tracking moving fluid interface even with huge deformations or fragmentation and merging. However, many fluid interface particle detection techniques are simple to implement but with low accuracy or provide relatively good detection results at complicated implementation cost or higher computational time. In case of incompressible flow simulation methods solving the Poisson equation of pressure, such as the moving particle semi‐implicit method, boundary particles detection techniques' accuracy affects precision and stability of pressure computation and interaction between fluid phases. In the present work, a new fluid interface particle detection technique is proposed to improve the accuracy of the boundary particles detection and keep the implementation easy. Denominated as the neighborhood particles centroid deviation technique, it is a two‐criteria technique based on the particle number density and the neighborhood particles weighted geometric center deviation. Compared with other techniques, the proposed neighborhood particles centroid deviation technique shows the best results by eliminating false interface particles inside the fluid domain and keeping the interface particles layer thin and regular. As a result, relatively stable pressure time histories and more consistent pressure and velocity fields are achieved. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

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Lagrangian simulations of ship-wave interactions in rough seas

Cited by 65 publications

References 22 publications

Improved pressure calculation for the moving particle semi-implicit method

Improved pressure calculation for the moving particle semi-implicit method

Coupled MPS-modal superposition method for 2D nonlinear fluid-structure interaction problems with free surface

Fluid interface detection technique based on neighborhood particles centroid deviation (NPCD) for particle methods

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