• Title/Summary/Keyword: USCIP (Unsplit semi-lagrangian CIP) method

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Applications of Three-Dimensional Multiphase Flow Simulations for Prediction of Wave Impact Pressure (유체충격력 예측을 위한 3차원 다상류 시뮬레이션의 응용)

  • Jeong, Se-Min;Hwang, Sung-Chul;Park, Jong-Chun
    • Journal of Ocean Engineering and Technology
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    • v.27 no.2
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    • pp.39-46
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    • 2013
  • In this study, the impact loads on tank walls by sloshing phenomena and on a tall structure in a three-dimensional rectangular tank were predicted using multiphase flow simulations. The solver was based on the CIP/CCUP (Constraint interpolation CIP/CIP combined unified procedure) method, and the THINC-WLIC (Tangent hyperbola for interface capturing-weighted line interface calculation) scheme was used to capture the air-water interface. For the convection terms of the Navier-Stokes equations, the USCIP (Unsplit semi-lagrangian CIP) method was adopted. The results of simulations were compared with those of experiments. Overall, the comparisons were reasonably good.

A Conservative USCIP Simulation Method for Shallow Water (물 표면 시뮬레이션을 위한 보존적 USCIP법)

  • Jeon, Sejong;Song, Oh-young
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.5
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    • pp.21-30
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    • 2019
  • We propose a physical simulation method based on the shallow water equation(SWE) to represent water surface effectively. In this paper, the water which can be represented has a much larger width compared to the depth does not have a large vertical direction flow. In order to calculate the water flow efficiently, we start with the shallow water equation as the governing equation, which is a simplified version of the Navier-Stokes equation. In order to numerically calculate the advection term of the SWE, we introduce a new conservtive USCIP(CUSCIP) method which improves the Constrained Interpolation Profile (CIP) method to preserve the physical quantity while increasing the numerical accuracy. The proposed method is based on Kim et. al.'s Unsplit Semi-lagrangian CIP[9], and calculates advection term with additional constraints on term that consider integral values. The experimental results show that the CUSCIP method is robust to the loss of physical quantity due to numerical dissipation, which improves wave detail and persistence.