Three-dimensional numerical analysis of shipping water onto a moving ship using a particle method

“…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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Three-dimensional numerical analysis of shipping water onto a moving ship using a particle method

Cited by 46 publications

References 15 publications

Enhancement of stability and accuracy of the moving particle semi-implicit method

Enhancement of stability and accuracy of 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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