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A wall boundary treatment using analytical volume integrations in a particle method
Author(s) -
Matsunaga Takuya,
Yuhashi Nobuhiro,
Shibata Kazuya,
Koshizuka Seiichi
Publication year - 2020
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6429
Subject(s) - hagen–poiseuille equation , mechanics , finite volume method , compressibility , boundary value problem , mathematics , boundary (topology) , flow (mathematics) , geometry , immersed boundary method , cylinder , mathematical analysis , physics
Summary Numerical treatment of complicated wall geometry has been one of the most important challenges in particle methods for computational fluid dynamics. In this study, a novel wall boundary treatment using analytical volume integrations has been developed for two‐dimensional (2D) incompressible flow simulations with the moving particle semi‐implicit method. In our approach, wall geometry is represented by a set of line segments in 2D space. Thus, arbitrary‐shaped boundaries can easily be handled without auxiliary boundary particles. The wall's contributions to the spatial derivatives as well as the particle number density are formulated based on volume integrations over the solid domain. These volume integrations are analytically solved. Therefore, it does not entail an expensive calculation cost nor compromise accuracy. Numerical simulations have been carried out for several test cases including the plane Poiseuille flow, a hydrostatic pressure problem with complicated shape, a high viscous flow driven by a rotating screw, a free‐surface flow driven by a rotating cylinder and a dam break in a tank with a wedge. The results obtained using the proposed method agreed well with analytical solutions, experimental observations or calculation results obtained using finite volume method (FVM), which confirms that the proposed wall boundary treatment is accurate and robust.