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Pressure boundary conditions for immersed-boundary methods
被引:0
|作者:
Yildiran, Ibrahim Nasuh
[1
]
Beratlis, Nikolaos
[3
]
Capuano, Francesco
[2
]
Loke, Yue-Hin
[4
]
Squires, Kyle
[3
]
Balaras, Elias
[1
]
机构:
[1] George Washington Univ, Dept Mech & Aerosp Engn, 800 22nd St NW, Washington, DC 20052 USA
[2] Univ Politecn Catalunya BarcelonaTech, Dept Fluid Mech, Barcelona 08019, Spain
[3] Arizona State Univ, Sch Engn Matter Transport & Energy, Tempe, AZ 85287 USA
[4] Childrens Natl Hlth Syst, Div Cardiol, Washington, DC 20010 USA
基金:
美国国家卫生研究院;
关键词:
Cartesian grids;
Immersed boundary method;
Direct forcing;
Lagrangian forcing;
Pressure boundary conditions;
TURBULENT FLOWS;
SIMULATION;
ACCURATE;
COMPUTATION;
D O I:
10.1016/j.jcp.2024.113057
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Immersed boundary methods have seen an enormous increase in popularity over the past two decades, especially for problems involving complex moving/deforming boundaries. In most cases, the boundary conditions on the immersed body are enforced via forcing functions in the momentum equations, which in the case of fractional step methods may be problematic due to: i) creation of slip -errors resulting from the lack of explicitly enforcing boundary conditions on the (pseudo -)pressure on the immersed body; ii) coupling of the solution in the fluid and solid domains via the Poisson equation. Examples of fractional -step formulations that simultaneously enforce velocity and pressure boundary conditions have also been developed, but in most cases the standard Poisson equation is replaced by a more complex system which requires expensive iterative solvers. In this work we propose a new formulation to enforce appropriate boundary conditions on the pseudo -pressure as part of a fractional -step approach. The overall treatment is inspired by the ghost -fluid method typically utilized in two-phase flows. The main advantage of the algorithm is that a standard Poisson equation is solved, with all the modifications needed to enforce the boundary conditions being incorporated within the right-hand side. As a result, fast solvers based on trigonometric transformations can be utilized. We demonstrate the accuracy and robustness of the formulation for a series of problems with increasing complexity.
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