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Consistent inlet and outlet boundary conditions for particle methods
Summary In this paper, simple and consistent open boundary conditions are presented for the numerical simulation of viscous incompressible laminar flows. The present approach is based on an arbitrary Lagrangian‐Eulerian particle method using upwind interpolation. Three kinds of inlet/outlet boundary...
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Published in: | International journal for numerical methods in fluids 2020-01, Vol.92 (1), p.1-19 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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In this paper, simple and consistent open boundary conditions are presented for the numerical simulation of viscous incompressible laminar flows. The present approach is based on an arbitrary Lagrangian‐Eulerian particle method using upwind interpolation. Three kinds of inlet/outlet boundary conditions are proposed for particle methods, a pressure specified inlet/outlet condition, a velocity profile specified inlet/outlet condition, and a fully developed flow outlet condition. These inlet/outlet conditions are realized by using boundary particles and modification to the physical value such as velocity. Poiseuille flows, flows over a backward‐facing step, and flows in a T‐shape branch are calculated. The results are compared with those of mesh‐based methods such as the finite volume method. The method presented herein exhibits accuracy and numerical stability.
In this paper, simple and consistent open boundary conditions are presented for the numerical simulation of laminar flows. Three kinds of inlet/outlet boundary conditions are proposed for particle methods, a pressure specified inlet/outlet condition, a velocity profile specified inlet/outlet condition, and a fully developed flow outlet condition. Poiseuille flows, flows over a backward‐facing step, and flows in a T‐shape branch are calculated compared with mesh‐based methods. The method presented herein exhibits accuracy and numerical stability. |
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ISSN: | 0271-2091 1097-0363 |
DOI: | 10.1002/fld.4768 |