Accuracy and stability in incompressible SPH (ISPH) based on the projection method and a new approach

The stability and accuracy of three methods which enforce either a divergence-free velocity field, density invariance, or their combination are tested here through the standard Taylor-Green and spin-down vortex problems. While various approaches to incompressible SPH (ISPH) have been proposed in the past decade, the present paper is restricted to the projection method for the pressure and velocity coupling. It is shown that the divergence-free ISPH method cannot maintain stability in certain situations although it is accurate before instability sets in. The density-invariant ISPH method is stable but inaccurate with random-noise like disturbances. The combined ISPH, combining advantages in divergence-free ISPH and density-invariant ISPH, can maintain accuracy and stability although at a higher computational cost. Redistribution of particles on a fixed uniform mesh is also shown to be effective but the attraction of a mesh-free method is lost. A new divergence-free ISPH approach is proposed here which maintains accuracy and stability while remaining mesh free without increasing computational cost by slightly shifting particles away from streamlines, although the necessary interpolation of hydrodynamic characteristics means the formulation ceases to be strictly conservative. This avoids the highly anisotropic particle spacing which eventually triggers instability. Importantly pressure fields are free from spurious oscillations, up to the highest Reynolds numbers tested.

[1]  Rui Xu,et al.  Comparisons of weakly compressible and truly incompressible algorithms for the SPH mesh free particle method , 2008, J. Comput. Phys..

[2]  A. Chorin Numerical solution of the Navier-Stokes equations , 1968 .

[3]  Fabrice Colin,et al.  Computing a null divergence velocity field using smoothed particle hydrodynamics , 2006, J. Comput. Phys..

[4]  U. Ghia,et al.  High-Re solutions for incompressible flow using the Navier-Stokes equations and a multigrid method , 1982 .

[5]  S. Cummins,et al.  An SPH Projection Method , 1999 .

[6]  S. Shao,et al.  INCOMPRESSIBLE SPH METHOD FOR SIMULATING NEWTONIAN AND NON-NEWTONIAN FLOWS WITH A FREE SURFACE , 2003 .

[7]  Petros Koumoutsakos,et al.  Remeshed smoothed particle hydrodynamics for the simulation of viscous and heat conducting flows , 2002 .

[8]  H. Schwaiger An implicit corrected SPH formulation for thermal diffusion with linear free surface boundary conditions , 2008 .

[9]  A. D. Gosman,et al.  AUTOMATIC RESOLUTION CONTROL FOR THE FINITE-VOLUME METHOD, PART 1: A-POSTERIORI ERROR ESTIMATES , 2000 .

[10]  Benedict D. Rogers,et al.  Numerical Modeling of Water Waves with the SPH Method , 2006 .

[11]  Pep Español,et al.  Incompressible smoothed particle hydrodynamics , 2007, J. Comput. Phys..

[12]  Aurèle Parriaux,et al.  A regularized Lagrangian finite point method for the simulation of incompressible viscous flows , 2008, J. Comput. Phys..

[13]  J. Bonet,et al.  Variational and momentum preservation aspects of Smooth Particle Hydrodynamic formulations , 1999 .

[14]  J. Morris,et al.  Modeling Low Reynolds Number Incompressible Flows Using SPH , 1997 .

[15]  J. Trulsen,et al.  Regularized smoothed particle hydrodynamics with improved multi-resolution handling , 2005 .

[16]  J. Monaghan SPH without a Tensile Instability , 2000 .

[17]  J. Monaghan Smoothed particle hydrodynamics , 2005 .

[18]  S. Koshizuka A particle method for incompressible viscous flow with fluid fragmentation , 1995 .

[19]  Nikolaus A. Adams,et al.  An incompressible multi-phase SPH method , 2007, J. Comput. Phys..

[20]  J. Monaghan,et al.  Smoothed particle hydrodynamics: Theory and application to non-spherical stars , 1977 .

[21]  Bertrand Alessandrini,et al.  An improved SPH method: Towards higher order convergence , 2007, J. Comput. Phys..

[22]  L. Lucy A numerical approach to the testing of the fission hypothesis. , 1977 .

[23]  S. Koshizuka,et al.  International Journal for Numerical Methods in Fluids Numerical Analysis of Breaking Waves Using the Moving Particle Semi-implicit Method , 2022 .