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Journal ArticleDOI

Numerical analysis of breaking waves using the moving particle semi-implicit method

TLDR
In this paper, a moving particle semi-implicit (MPS) algorithm is used for two-dimensional incompressible non-viscous flow analysis and two types of breaking waves, plunging and spilling breakers, are observed in the calculation results.
Abstract
SUMMARY The numerical method used in this study is the moving particle semi-implicit (MPS) method, which is based on particles and their interactions. The particle number density is implicitly required to be constant to satisfy incompressibility. A semi-implicit algorithm is used for two-dimensional incompressible non-viscous flow analysis. The particles whose particle number densities are below a set point are considered as on the free surface. Grids are not necessary in any calculation steps. It is estimated that most of computation time is used in generation of the list of neighboring particles in a large problem. An algorithm to enhance the computation speed is proposed. The MPS method is applied to numerical simulation of breaking waves on slopes. Two types of breaking waves, plunging and spilling breakers, are observed in the calculation results. The breaker types are classified by using the minimum angular momentum at the wave front. The surf similarity parameter which separates the types agrees well with references. Breaking waves are also calculated with a passively moving float which is modelled by particles. Artificial friction due to the disturbed motion of particles causes errors in the flow velocity distribution which is shown in comparison with the theoretical solution of a cnoidal wave. © 1998 John Wiley & Sons, Ltd.

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Citations
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Lagrangian multiphase modeling of sand discharge into still water

TL;DR: In this article, a multiphase non-Newtonian MPS approach is developed and applied to the case of sand discharge into still water, and the results are validated using experimental measurements and analytical solutions to evaluate the accuracy of the model.
Journal ArticleDOI

Finite Particle Method for Progressive Failure Simulation of Truss Structures

TL;DR: In this paper, a structural analysis framework called the finite particle method (FPM) for structure failure simulation is presented, which discretizes the domain with finite particles whose motions are described by Newton's second law.
Journal ArticleDOI

Modelling the flow of self-compacting concrete

TL;DR: In this article, a Lagrangian particle-based method, smooth particle hydrodynamics (SPH), is used to model the flow of self-compacting concretes (SCC) with or without short steel fibres.
Journal ArticleDOI

Computational haemodynamics of small vessels using the Moving Particle Semi-implicit (MPS) method

TL;DR: The Moving Particle Semi-implicit method, a Lagrangian particle method to solve the incompressible Navier-Stokes equations, is developed to perform simulations in complex periodic domains, and shows evidence that in proximity to the vessel wall, the red blood cells expose a larger surface area by orientation and deformation, due to the presence of a high velocity gradient.
Journal ArticleDOI

Experimental and numerical study of stratification and solidification/ melting behaviors

TL;DR: In this article, the improved moving particle semi-implicit (MPS) method was applied for investigating the stratification and solidification/melting phenomena in melt corium behavior within the reactor lower head.
References
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Moving-Particle Semi-Implicit Method for Fragmentation of Incompressible Fluid

TL;DR: In this paper, a moving-particle semi-implicit (MPS) method for simulating fragmentation of incompressible fluids is presented, where the motion of each particle is calculated through interactions with neighboring particles covered with the kernel function.
Journal ArticleDOI

Breaker type classification on three laboratory beaches

TL;DR: Breaker type, for waves on smooth concrete slopes, depends on beach slope m, wave period T, and either deep-water or breaker height, H 0 or Hb as discussed by the authors.
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