2009
DOI: 10.1016/j.cpc.2008.12.004
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A simple procedure to improve the pressure evaluation in hydrodynamic context using the SPH

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Cited by 446 publications
(218 citation statements)
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“…Herein, for the continuity equation the delta-SPH density diffusion formulation is used, first suggested by Molteni and Colagrossi (2009), as this has been shown to give noise-free pressure fields and close agreement with experimental data for wave propagation (Antuono et al, 2012;Altomare et al, 2015). Therefore, using the SPH divergence and gradient operators the conservation of mass for a particle is given by…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Herein, for the continuity equation the delta-SPH density diffusion formulation is used, first suggested by Molteni and Colagrossi (2009), as this has been shown to give noise-free pressure fields and close agreement with experimental data for wave propagation (Antuono et al, 2012;Altomare et al, 2015). Therefore, using the SPH divergence and gradient operators the conservation of mass for a particle is given by…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Various formulations have been suggested in the literature to address the pressure fluctuations (e.g. Molteni and Colagrossi, 2009). The alternative approach is to solve a pressure Poisson equation for the fluid domain, with various ISPH schemes having been proposed (Cummins and Rudman, 1999;Shao and Lo, 2003 Tsunami wave and structure interaction: an investigation with smoothed-particle hydrodynamics Cunningham, Rogers and Pringgana Graham, 2010;Khayyer and Gotoh, 2010;Lee et al, 2008;Xu et al, 2009).…”
Section: Sph Formulationmentioning
confidence: 99%
“…Since free surface solitons are driven by inertial forces and show inviscid behaviour, the momentum diffusion (either physical on numerical) was ignored in the present work. Instead the numerical diffusive term for density in the continuity equation worked out by [15] and further improved by [18] was implemented. Based on the linear stability analysis by Antuono [19] the density diffusion became an efficient tool on damping numerical oscillations.…”
Section: The Numerical Schemementioning
confidence: 99%
“…The discrete convolution (10) constructs an arbitrary flow field on a statistically uniform distribution of particles in space. In our calculations the renormalised Gaussian kernel function [15] is adopted, where r = |r i -r j |, and the renormalisation constants are…”
Section: The Numerical Schemementioning
confidence: 99%