Development and Application on New Judging Method of Free Water Surface of MPS

Itori, Seiya; Iribe, Tsunakiyo; Nakaza, Eizo

doi:10.2208/jscejoe.67.i_274

Cited by 4 publications

(14 citation statements)

References 3 publications

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“…As the references for the performance evaluation, some of the widely used fluid interface particle detection techniques are considered herein. They are the techniques proposed by: Koshizuka and Oka ; Tanaka and Masunaga ; Lee et al ; Itori et al . …”

Section: Free Surface Particle Detection Techniquesmentioning

confidence: 99%

“…The fourth method used as reference in the present work was proposed by Itori et al . It is based on the absolute value of the particles number density gradient:

(||, \nabla n_{i}^{*}) > α,

…”

Section: Free Surface Particle Detection Techniquesmentioning

confidence: 99%

“…In other words, this is a two‐criteria technique that applies the very low cost Koshizuka and Oka criterion to speed up the detection using r e of 2.1 l 0 . The recommended value of α is 0.76 or 0.80, considering r e of 3.1 l 0 . These values were obtained empirically.…”

Section: Free Surface Particle Detection Techniquesmentioning

confidence: 99%

“…In order to verify the effectiveness of the proposed technique, two‐dimensional and three‐dimensional dam‐breaking simulations were carried out, and the obtained results were compared with that obtained from the techniques proposed by Koshizuka and Oka , Tanaka and Masunaga , Itori et al , Lee et al , and Gotoh et al .…”

Section: Comparison Between Techniquesmentioning

confidence: 99%

“…Two‐dimensional dam‐breaking simulation at 0.36 s highlighting free surface particles identified by the (a) Koshizuka and Oka , (b) Tanaka and Masunaga , (c) Lee et al , (d) Itori et al , Gotoh et al , and (e) neighborhood particles centroid deviation techniques in a simulation calculated by the original method (zoomed in on the right side of the tank).…”

Section: Comparison Between Techniquesmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Free Surface Particle Detection Techniquesmentioning

confidence: 99%

“…The fourth method used as reference in the present work was proposed by Itori et al . It is based on the absolute value of the particles number density gradient: