2019
DOI: 10.18280/acsm.430107
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Simulation of Sand Particles Flow Using a Weakly Compressible Smoothed Particle Hydrodynamics Method (WCSPH)

Abstract: In the present study, sand behavior on the transformation of sandy beaches is simulated by a Lagrangian approach using a solver based on smooth particle hydrodynamics (SPH) method. There are interpolation points that are assumed as fluid particles with arbitrary distribution. These particles carry mass, velocity, density, and other material properties depending on the given problem. The multi-phase flows can be modeled by SPH and each particle is assigned to a different phase. The WCSPH method is used to solve… Show more

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Cited by 1 publication
(2 citation statements)
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“…The results reveal that only 1600 particles are required for reasonable prediction of lid-driven square cavity flow at Re = 100 and 400 and 6400 particles is required to predict it at Re = 1000. It can be concluded that the ISPH method has a high ability to model non-Newtonian fluid flows and is more accurate than the WCSPH method due to much less pressure fluctuations during the simulations [18,19]. [32] (left) and the ISPH method using 40 × 40 particles (right) Fig.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…The results reveal that only 1600 particles are required for reasonable prediction of lid-driven square cavity flow at Re = 100 and 400 and 6400 particles is required to predict it at Re = 1000. It can be concluded that the ISPH method has a high ability to model non-Newtonian fluid flows and is more accurate than the WCSPH method due to much less pressure fluctuations during the simulations [18,19]. [32] (left) and the ISPH method using 40 × 40 particles (right) Fig.…”
Section: Discussionmentioning
confidence: 98%
“…They used serial and parallel codes to test the speed up and runtime. Bayareh et al [19] used Lagrangian WCSPH method to simulate a dam break, submerged hatch, sandy beaches and sedimentation problems. They found that the results achieved from SPH method are in good agreement with experimental and numerical data.…”
Section: Introductionmentioning
confidence: 99%