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Unified semi-analytical wall boundary conditions applied to 2-D incompressible SPH

Abstract : This work aims at improving the 2-D incompressible SPH model (ISPH) by adapting it to the unified semi-analytical wall boundary conditions proposed by Ferrand et al. [10]. The ISPH algorithm considered is as proposed by Lind et al. [25], based on the projection method with a divergence-free velocity field and using a stabilising procedure based on particle shifting. However, we consider an extension of this model to Reynolds-Averaged Navier-Stokes equations based on the k- turbulent closure model, as done in [10]. The discrete SPH operators are modified by the new description of the wall boundary conditions. In particular, a boundary term appears in the Laplacian operator, which makes it possible to accurately impose a von Neumann pressure wall boundary condition that corresponds to impermeability. The shifting and free-surface detection algorithms have also been adapted to the new boundary conditions. Moreover, a new way to compute the wall renormalisation factor in the frame of the unified semi-analytical boundary conditions is proposed in order to decrease the computational time. We present several verifications to the present approach, including a lid-driven cavity, a water column collapsing on a wedge and a periodic schematic fish-pass. Our results are compared to Finite Volumes methods, using Volume of Fluids in the case of free-surface flows. We briefly investigate the convergence of the method and prove its ability to model complex free-surface and turbulent flows. The results are generally improved when compared to a weakly compressible SPH model with the same boundary conditions, especially in terms of pressure prediction.
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Contributor : Agnès Leroy <>
Submitted on : Wednesday, February 12, 2014 - 1:55:10 PM
Last modification on : Thursday, February 7, 2019 - 3:57:12 PM
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Agnès Leroy, Damien Violeau, Martin Ferrand, Christophe Kassiotis. Unified semi-analytical wall boundary conditions applied to 2-D incompressible SPH. Journal of Computational Physics, Elsevier, 2014, 261, pp.106-129. ⟨10.1016/⟩. ⟨hal-00945510⟩



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