2012
DOI: 10.1155/2012/139583
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A Stabilized Incompressible SPH Method by Relaxing the Density Invariance Condition

Abstract: A stabilized Incompressible Smoothed Particle Hydrodynamics (ISPH) is proposed to simulate free surface flow problems. In the ISPH, pressure is evaluated by solving pressure Poisson equation using a semi-implicit algorithm based on the projection method. Even if the pressure is evaluated implicitly, the unrealistic pressure fluctuations cannot be eliminated. In order to overcome this problem, there are several improvements. One is small compressibility approach, and the other is introduction of two kinds of pr… Show more

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Cited by 165 publications
(105 citation statements)
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“…For this purpose, the different source term in the pressure Poisson equation can be derived using the 'particle' density. In stabilized ISPH method [4], the pressure Poisson Equation (15) …”
Section: Isph Methodsmentioning
confidence: 99%
“…For this purpose, the different source term in the pressure Poisson equation can be derived using the 'particle' density. In stabilized ISPH method [4], the pressure Poisson Equation (15) …”
Section: Isph Methodsmentioning
confidence: 99%
“…The density may also be specified as the physical density (e.g. Asai et al 2012;Lind et al 2012;Leroy et al 2014) and thus should be the same at all particles, i.e. ρ i = ρ j .…”
Section: Lp-sph01mentioning
confidence: 99%
“…In this paper, the basic of stabilized ISPH which introduced by Asai [3] was adopted. The following sections will be described the governing equations used and the concept of Smoothed Particle Hydrodynamics (SPH) with the modification for incompressible flow.…”
Section: A Stabilized Incompressible Smoothed Particle Hydrodynamics mentioning
confidence: 99%
“…Then, the SPH method was extended to incompressible viscous flow. Nowadays, a stabilized Incompressible Smoothed Particle Hydrodynamic (ISPH) approach is one of the particle methods and commonly used to solve some of complicated physical problems including free surface flow problems [3]. In addition, boundary treatment of the particle method is one of the important issues for accurate solutions.…”
Section: Introductionmentioning
confidence: 99%